Senior Quantitative Analyst

Position Overview 
The Chicago White Sox is seeking a Senior Quantitative Analyst with exceptional statistical expertise to enhance model development for our growing Research & Development team. You’ll design and deploy sophisticated models that inform critical decisions across player evaluation, development, and strategy—while mentoring other analysts in advanced statistical methods and best practices.

Job Responsibilities 

• Design, build, and deploy production-grade statistical models for player forecasting, evaluation, and strategic decision-making
• Own modeling projects end-to-end: research question formulation, statistical design, implementation, validation, and deployment
• Adhere to statistical best practices, coding standards, and reusable modeling infrastructure for the team
• Mentor junior analysts in advanced statistical techniques, experimental design, and model development workflows through code reviews and technical workshops
• Translate complex statistical findings into actionable insights for coaches, scouts, and front office executives

Required Qualifications

Education & Experience

• Bachelor’s degree in Statistics, Mathematics, Computer Science, or related quantitative field
• 3-5 years building and deploying predictive models in industry or advanced graduate training

Technical Skills

• High proficiency in R or Python and SQL
• Deep expertise in Bayesian statistics with hands-on experience building custom Bayesian models
• Strong experience with probabilistic programming languages (Stan, PyMC, JAGS, or similar)
• Familiarity with machine learning methods (regression, classification, ensemble methods, neural networks), causal inference approaches, and core algorithms for optimization and model fitting
• Experience with version control (Git) and building production model pipelines

Professional Attributes

• Strong analytical and problem-solving skills with attention to statistical rigor
• Excellent communication skills for both technical and non-technical audiences
• Ability to work independently on long-term projects and manage multiple priorities
• Passion for mentoring and elevating team capabilities

Preferred Qualifications

• Graduate degree (M.S. or Ph.D.) in Statistics or related quantitative field
• 5+ years of experience building models in industry or relevant field
• Knowledge of current baseball research and sabermetrics

About Our Culture
We are building a growing analytics team where every member has the opportunity to make meaningful contributions. Our team is guided by three core values:

• Process Driven: We strive to establish robust analytical frameworks, document thoroughly, and build sustainable systems that scale
• Communication: We translate complex findings into actionable insights for diverse audiences
• Impact: We measure success by how our models influence real decisions and outcomes

Working Conditions

• Flexible hours including evenings, weekends, and holidays as dictated by the baseball calendar
• Ability to handle confidential information with discretion
• Occasional travel

Compensation:

• $90,000 – $100,000

Benefits include:

• Health
• Dental
• Life
• AD&D
• LTD
• Defined Benefit Plan (Major League Baseball Pension for Non-Uniformed Personnel)
• Voluntary Supplemental Life
• Voluntary Supplemental AD&D
• Voluntary Vision
• Voluntary Pet Insurance
• Voluntary 401(k)
• Voluntary Flex Benefits (FSA, Transportation, Dependent Care)
• Complimentary White Sox Tickets
• Complimentary Lunch
• Holiday Break
• Promotional Items

Chicago White Sox is an Equal Opportunity employer committed to a diverse workforce. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other status or characteristic protected by applicable federal, state, or local law.

Please include a resume and cover letter.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Chicago White Sox.

Direct links to applications (please see job details below):

Analytics Intern, Baseball R&D (2026 Season)
Software Engineering Intern, Baseball R&D (2026 Season)

Analytics Intern, Baseball R&D (2026 Season)

Summary:
The Washington Nationals are seeking analytics interns to join our Baseball Research & Development team for the 2026 season. As an analytics intern, you’ll work on developing and applying your data science skills to baseball, performing research on baseball questions under the close mentorship of a team member of Baseball R&D. You’ll likely work on one project at a time, with plenty of time for model exploration and personal development. You’ll have the opportunity to work in a collaborative baseball front office daily at the stadium, watching baseball and engaging regularly with more senior members of our baseball operations group.

Internships are a key way for us to find future full-time members of our department, with many of our senior department members beginning as interns. While a pathway to a full-time position is not assured, many of our former interns have found full-time opportunities with the Nationals or other MLB clubs. We have availability for both summer internships and full season internships, with some flexibility on start dates.

The Washington Nationals are committed to creating a diverse and inclusive work environment and are proud to be an equal opportunity employer. The listed qualifications serve as guidelines rather than strict requirements. We encourage all enthusiastic candidates to apply, especially those from non-traditional backgrounds and historically marginalized or underrepresented groups. We will consider applications without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability or veteran status.

Essential Duties and Responsibilities:

• Use R to build statistical models to answer a primary baseball research question under the direction of a Baseball R&D team member
• Communicate findings through written reports, presentations, and informal conversations
• Design and build informative data visualizations for use in automated reports or internal web applications

Requirements:

Education and Experience Requirements

• Experience analyzing datasets and training statistical models using R, Python, or equivalent
• Has or is pursuing an undergraduate or graduate degree from a four-year college or university, preferably in Data Science, Statistics, Mathematics, Computer Science or related field
• Willingness to relocate to Washington, DC
• Authorized to work in the United States

Knowledge, Skills, and Abilities necessary to perform essential functions

• Ability to complete statistical modeling projects
• Ability to listen and incorporate feedback, collaborate with others
• Enthusiasm for learning new skills related to programming, statistical modeling, and data visualization
• Passion for baseball and desire to work in baseball operations
• Working knowledge of sabermetrics and modern quantitative baseball evaluation concepts
• Demonstrate key personal qualities that contribute to a high-performing team environment. These include bringing joy and positive energy to daily work, maintaining humility and curiosity, acting with integrity and accountability, and embracing a competitive mindset focused on continuous improvement and shared success.

Physical/Environmental Requirements

• Occasional long hours may be required during draft, trade deadline, or postseason.
• Interns can attend all home games but are not required to. Meals are provided to staff during games.

Compensation:
The projected wage rate for this position is $17.95 per hour. Actual pay is based on several factors, including but not limited to the applicant’s: qualifications, skills, expertise, education/training, certifications, and other organization requirements. Starting salaries for new employees are frequently not at the top of the applicable salary range.

Equal Opportunity Employer:
The Nationals are dedicated to offering equal employment and advancement opportunities to all individuals regardless of their race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, or any other protected characteristic under applicable law.

To Apply
To apply, please follow this link.

Software Engineering Intern, Baseball R&D (2026 Season)

Summary:
The Washington Nationals Baseball Research & Development group is seeking a Software Engineering Intern to join our team for the 2026 season. Our group builds the data and software systems that power the Nationals’ decision-making across the baseball organization — from front-office analysis to player development processes, coaching decisions, and scouting evaluations.

As an intern, you’ll contribute directly to these systems by helping design data pipelines, APIs, and web applications used throughout our baseball operations department. Depending on your background and interests, you’ll have opportunities to focus on data engineering, web development, or a blend of both.

We have opportunities for both a summer-only internship (3-months) and a longer internship (6-months), with flexibility in starting dates. This internship is in-person in Washington, DC.

Essential Duties and Responsibilities:
The responsibilities will be some combination of the following, depending on whether the intern is focused on data engineering or web development.

• Build data imports and data pipelines using Prefect.
• Add functionality to our internal API microservice, implemented in FastAPI.
• Design and build interactive data-driven web pages using Vue.js and Ruby on Rails.
• Write documentation.

Requirements:

Education and Experience Requirements

• Has or is pursuing an undergraduate or graduate degree from a four-year college or university, preferably in Computer Science or related field.

Knowledge, Skills, and Abilities necessary to perform essential functions

• Enthusiastic about working in baseball.
• Ability to work both collaboratively and independently with close attention to detail.
• Experience with modern programming languages (e.g. Python, Ruby, JavaScript, or similar) and with SQL.
• Some experience working on the command line in a Linux-like environment.
• Some experience using git for version control.
• Experience using AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Gemini, Claude, Cursor) to accelerate development.
• Experience with some of the following technologies is preferred:
• Data frameworks: Pandas, Polars
• Web frameworks: FastAPI, Flask, Node.js/Express, Ruby on Rails
• Front-end frameworks: React, Vue.js
• Data Visualization frameworks: D3.js, Plotly
• Workflow orchestration tools: Prefect, Dagster, Airflow
• Ability to communicate clearly and effectively.
• Authorized to work in the United States.

Physical/Environmental Requirements

• Office: Working conditions are normal for an office environment. Work may require occasional weekend and/or evening work. Occasional long hours may be required during the draft or trade deadline.
• Interns can attend all home games but are not required to. Meals are provided to staff during games.

Application Process
Approximately 10% of applicants will be invited to complete a take-home programming assignment, designed to take about 10 hours and to be completed within a 10-day window. We will review these submissions and invite selected candidates to participate in one or more video interviews.

Compensation:
The projected wage rate for this position is $17.95 per hour. Actual pay is based on several factors, including but not limited to the applicant’s: qualifications, skills, expertise, education/training, certifications, and other organization requirements. Starting salaries for new employees are frequently not at the top of the applicable salary range.

Equal Opportunity Employer:
The Nationals are dedicated to offering equal employment and advancement opportunities to all individuals regardless of their race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, gender identity or expression, family responsibilities, matriculation, political affiliation, genetic information, disability, or any other protected characteristic under applicable law.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Washington Nationals.

Direct links to applications (please see job details below):

Cloud Engineer
Major League Strategy Fellow
Minor League Affiliate Fellow (Seasonal)

Cloud Engineer

Job Summary:
The St. Louis Cardinals are looking for a Cloud Engineer to join our St. Louis-based Baseball Development team. Candidates should either live in, or be willing to relocate to, the St. Louis metro area. Candidates should also have a deep love of baseball, like the idea of being on a small, dynamic team with high individual flexibility and responsibility, and be competitively driven with a growth mindset. We compete with other teams in our domain just like our MLB players compete with other teams on the field. This position must have open flexibility during the season with hours and availability.

Job Duties:
The role of Cloud Engineer will be a cross-functional role that balances Google Cloud Platform systems engineering with software engineering and data engineering. Some example projects this position would be working on:

• Profiling a BigQuery procedure to determine a way to improve performance and reduce costs
• Writing a tool in Go to automate some common data engineering task
• Assessing options to improve resource utilization in a Kubernetes cluster
• Extending our Python ETL framework to support a new data source
• Planning, testing, and upgrading a database server to the latest version

Other essential job functions include:

• Maintain a small number of hosted servers/services: Google Composer, Google Kubernetes Engine, Cloud SQL (PostgreSQL)
• Diligently monitor cloud performance and cost
• Maintain a self-managed Microsoft SQL database server

Experience Required:

• Advanced knowledge of Google Cloud Platform offerings and best practices
• Intermediate knowledge of either Go or Python or two other programming languages
• Intermediate knowledge of Terraform or equivalent
• Growth mindset, self-motivated, curious, competitive, collaborative
• Curious to help wherever well suited to do so, across the full data stack, from ingestion, to modeling, to analysis, to visualization
• Knowledge of cloud networking best practices, VPC network peering, etc. helpful but not required
• Knowledge of database administration, query profiling, etc. helpful but not required
• Knowledge of data lifecycle processes with an emphasis more on accessibility and quality helpful but not required

To Apply
To apply, please follow this link.

Major League Strategy Fellow

Job Summary:
The role of Major League Strategy Fellow will utilize Baseball Development applications to identify actionable insights for the MLB team. This position will report to the MLB Analyst and will be based in St. Louis in the MLB clubhouse. Travel to Jupiter for Spring Training will be required. Even though not always there in person, this person should be available on the MLB team’s schedule from the start of spring training to the end of the MLB season.

Job Duties:

• Provide MLB staff with detailed analyses of player data trends and deviations from their typical performance
• Give strategic insights and recommendations based on Baseball Development information
• Be a point of contact within Baseball Development for MLB staff with data related questions and ideas
• Identify new tools that Baseball Development can build to better serve MLB team
• Collaborate with Baseball Development in building new predictive models or actionable metrics
• Build prototypes, or collaborate with Baseball Development in building production versions, of future automated reports and applications
• Assist in the capture, dissemination, and utilization of video and data
• Assist in quality control of reports and applications created by Baseball Development and sent to MLB staff

Experience Required:

• Strong ability to communicate clearly and concisely in both written and verbal form
• Ability to work effectively with various stakeholders in a fast-paced team environment
• Humility, curiosity, and ability to interact productively with others
• Experience with modern baseball data including ball tracking, player tracking, and limb tracking data
• Demonstrated ability to communicate technical baseball data to non-technical audiences
• Experience communicating with baseball coaches and staff
• Familiarity with database querying languages
• Awareness of predictive modeling and machine learning concepts
• Proficiency at building easy to read data visualizations and reports is a plus, but not required
• Ability to build automated applications and/or websites is a plus, but not required
• Experience writing published articles and/or speaking on radio/podcasts/television about modern baseball data is a plus, but not required

To Apply
To apply, please follow this link.

Minor League Affiliate Fellow (Seasonal)

Job Summary:
The Minor League Affiliate Fellow will manage all aspects of video and technology at a domestic minor league affiliate location in supporting the minor league coaching staff (manager, hitting coach, and pitching coach, etc.). The data collected from video and technology will be utilized to provide feedback to players for development. This position will be placed at one of our minor league affiliates during the 2026 season.

Pre-game tasks will include managing distribution, set up and usage of all baseball technology along with any advance scouting needs from staff. During the game, this position will manage technology resources for the minor league coaches from the dugout. Post-game tasks will ensure all data and video collected from the day is available for reporting & analysis and create reports for players and coaches as required. This position will work directly with the Baseball Technology Department and reports to the relevant minor league manager for day-to-day responsibilities at the affiliate.

The ideal candidate will have demonstrated a strong work ethic and impressive intellect. The position is a seasonal job for the 2026 season but may lead to full-time employment in Baseball Technology or elsewhere within Baseball Operations.

Job duties:

• Manage baseball technology and video capture at the affiliate (e.g. Trackman, Blast Motion, Edgertronic Camera, etc.).
• During the game, depending on staff needs:
  • Manage in-game capture of technology and video from the dugout
  • Quality assurance of the video and data collected for analyses
  • Setup video camcorders for game recording
• Communicate any implementation issues to the Baseball Technology Coordinator that are not remediated through initial troubleshooting
• Attend Spring Training and travel with assigned minor league team on the road throughout the season

Experience/Education Required:

• Postgraduate or college senior available to start work during Spring Training
• Proven ability to use and troubleshoot baseball or sport science technology (like pairing portable trackman to an Edgertronic camera, syncing wearable technology to a mobile device, etc.)
• Familiar with and/or demonstrate the willingness to learn technology such as Blast Motion, Trackman, and video integration
• Ability to communicate effectively and efficiently
• Proficient with computers, iPads, and other electronics
• Ability to work weekdays, nights, weekends and holidays
• Spanish fluency is a plus

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the St. Louis Cardinals.

Organizational Intern, Major League or AAA Strategy

Department: Baseball Development
Reports to: Manager, Major League Hitting Strategy
Status: Seasonal, Full-Time
Location: Philadelphia, PA or Allentown, PA

Position Overview:
The Phillies are seeking candidates to support the Major League Strategy team within Baseball Development. These positions will contribute to the daily preparation and production of materials to support Major League and AAA coaches and players. The roles will integrate critical thought, organizational research and resources to form the highest quality information while fostering alignment and continuity between levels.

There are two opportunities available — one primarily based in Philadelphia and one in Allentown. Candidates may express their preference for either role or be considered for both. Candidates must be able to work full-time and relocate their residence for the duration of the 2026 regular season and postseason.

Responsibilities:
Breakdown of responsibilities may vary depending on the background and strengths of the candidate. We hope to develop the selected individuals based on their goals and how they can best help The Phillies. Previous responsibilities covered by this role and areas in which this role might be able to make an impact include:

• Preparation and production of advance reports and other material covering all aspects of opposing players and in-game strategy
• Promotion of alignment and continuity between Major League and AAA advance materials
• Research and analysis to guide player development 
• Participation in group discussions to innovate and optimize internal processes
• Ad hoc projects to support field staff and Baseball Development
• Assistance with carrying out player training and preparation routines

Required Qualifications:

• Bachelor’s Degree
• Strong foundational knowledge in modern baseball analysis and evaluation
• Experience working in professional and/or collegiate baseball
• Strong oral, written and visual communication and presentation skills
• Able to work with and protect highly confidential information
• Able to interact professionally with players, coaches, front office and support staff
• Able to multitask and meet strict deadlines in a fast-paced environment
• Able to work flexible hours, including nights, weekends and holidays

Preferred Qualifications:

• Fluent or conversational Spanish
• Experience in one or more of the following languages (including but not limited to: Python, SQL, JavaScript, R)
• Experience building models and/or making rigorous predictions about on-field outcomes
• Experience interacting with statistical forecasts and providing information additive to existing processes
• Experience working with sports technology, video and/or data collection
• Playing background and ability to support on-field work (throwing batting practice, hitting fungos, infield routines, etc.)

You will be required to answer the following question along with the submission of your application:

Which active pitcher has the best pitch in baseball (e.g. Pedro Martinez’s changeup) and why? (300-word max.)

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Philadelphia Phillies.

Analyst, Pitching Integration

Overview
Member of the Arizona Diamondbacks pitching infrastructure, specializing in the application of biomechanics and performance data to support developmental initiatives and systems. Serves as the conduit between multiple departments, presenting information to coaches, front office, strength & conditioning, and training staff to drive action in the player development space while also collaborating with the Baseball Systems team to incorporate biomechanical data into usable applications capable of supporting multiple departments. Based in Arizona, this individual will also be responsible for operating our pitching lab space.

Duties & Responsibilities

System Development & Biomechanics

• Collaborate with the Baseball Systems team to design and refine applications/tools that can enhance the efficiency and effectiveness with which biomechanical data is integrated into the pitching development process.
• Translate biomechanical data and assessments into clear, actionable insights for coaches, coordinators, and players.

Lab & Technology Oversight

• Facilitate lab scheduling throughout the year with the front office, ML Staff, and Pitching Coordinator group.
• Operate the pitching biomechanics lab space, including motion capture systems, force plates, and other tech.
• Ensure data collection is accurate, reliable, and consistent across environments.
• Interpret and communicate lab findings to the pitching department, S&C, and Medical staff for use in player plans.

Monitoring & Flagging Performance Trends

• Track and flag pitcher performance indicators such as velocity drops, shape/axis changes, release consistency changes, spin and spin-axis variations, and usage trends/workload patterns.
• Raise objective flags to the pitching coordinator group and coaching staff with clarity and urgency when needed.

Cross-Department Communication

• Serve as a conduit from Player Development/ML Staff to the Baseball Systems and Sports Medicine Performance Team.
• Present findings in coach and player friendly formats that simplify complexity without losing depth.
• Provide ad hoc biomechanical assessments in the player procurement process.
• Contribute to org-wide discussions through internal research on workload management, pitcher health, and development strategies.

Travel & On-Site Presence
Work on-site in Arizona at Salt River Fields, ensuring presence in the lab.

Knowledge / Skills / Abilities

• Communicator – excellent written and verbal communication skills, capable of connecting with coaches, players, and staff; able to effectively communicate biomechanical insights across a range of stakeholders.
• Systems Oriented – ability to design frameworks that turn complex data into usable, repeatable processes.
• Technical Skillset – proficiency in R, Python, or similar, as well as SQL preferred; applied experience with data visualization.
• Biomechanics Expertise – foundation in pitching biomechanics a plus, ideally with prior experience in applied baseball settings.
• Problem-Solver – proactive in identifying issues and offering solutions.
• Collaborative – thrives in cross-department environments, balancing scientific rigor with practical coaching needs.
• Forward-Thinking – motivated to push the biomechanical analytics space forward and keep the organization on the cutting edge.

Experience / Education Requirements

• Preferred degree OR professional experience in biomechanics, kinesiology, sports science, or related field.
• Experience applying biomechanics within baseball or high-performance sport is a plus.
• Professional experience in a quantitative position is a plus.
• Preferred technical skills with motion capture and ball flight data.

To Apply
Please email bbopsjob@dbacks.com with the subject line “Pitching Integration”.

The content in this posting was created and provided solely by the Arizona Diamondbacks.

Direct links to applications (please see job details below):

Software Engineer – Biomechanics Tools
Software Engineer – Dugout
Database Architect (Full Stack)

Software Engineer – Biomechanics Tools – KinaTrax

Location: Remote
Contract: Full-Time, Permanent
Salary: $101,000 – $134,000
Start Date: Asap

About Us:
KinaTrax’s mission is to provide professional and collegiate teams with game-changing insights about their most valuable asset: their athletes. We deliver research-grade markerless motion capture technology that allows teams to collect in-game biomechanical performance data on their athletes. KinaTrax camera systems are currently deployed in over 50 stadiums & labs across MLB, MiLB, & NCAA organizations – and expanding rapidly.

Our comprehensive data capture & analysis tools are operationalized for daily use by players, GMs, coaches, trainers, medical staff, and beyond. As the market leader in Major League Baseball, KinaTrax has established itself as a foundational part of the teams’ day-to-day strategy and decision-making machine. But we aren’t finished. We are constantly innovating and looking to recruit talented teammates to help us continue to revolutionize this space. Your contributions will focus on bringing the next generation of athlete performance data across a variety of sports to teams worldwide.

Job Summary:
The Software Engineer – Tools will work alongside the larger KinaTrax product development team with a particular focus on KinaTrax client-facing tools used for data collection, processing, calibration, and annotation, with the goal of providing a simpler and more efficient solution for our clients. Some of these development efforts may include the adaptation of current tools to cloud-based solutions and the evolution of our tool concepts for use in other biomechanics-related markets. Within this role, you may also be tasked with improving our software interface to fit within the larger Sony sports business data architecture, with the goal of optimizing data access both internally and for our clients. As part of your role, you will collaborate with other members of the product development team on specific projects, where, at times, you may be expected to be a project development lead.

Key Responsibilities:

• Continued development and maintenance of client-facing and internal company tools used for data acquisition, processing, quality, etc.
• Optimization of data-related tools within cloud-based environments to improve tool efficiency.
• Development of client-facing operations tools for other biomechanics-related markets.
• Improve or implement hardware/software interfaces within hardware solutions already in use, or future hardware solutions, determined based on company need and/or client feedback.
• Integration of data using API concepts from a variety of sources, with the aim of optimizing data contextualization.
• Contribute to the development and maintenance of cross-platform codebases (e.g., Linux, Windows, or embedded environments).
• Work with operations teams to ensure reliable and efficient communication between software and underlying systems.
• Identify and resolve software defects by analyzing core dumps, memory leaks, and performance bottlenecks.
• Analyze existing code and suggest incremental improvements to performance, maintainability, or readability.
• Perform proper quality assurance testing when implementing development changes to production.
• Assist with other non-tool-related product development tasks.

Qualifications/Experience:

• Minimum 3 years of experience as a software engineer working with C++ in a professional or academic environment, including production use of the Qt framework.
• Hands-on experience shipping and maintaining at least one cross-platform desktop application (Windows and Linux) to multiple end-users.
• Direct experience integrating with commercial cloud platforms (AWS, Azure, or GCP) for storage, data processing, and deployment. Please specify projects or products in your application.
• Proven work integrating and troubleshooting hardware interfaces with at least one of the following: high-speed cameras, force plates, or motion capture/sports-specific hardware.
• Demonstrated proficiency implementing data ingestion and integration using third-party APIs (provide examples in your application).
• Professional usage of Git version control in a team-based development environment (clearly detail your workflow and collaboration practices).
• Knowledge of performance tuning and memory optimization in a C++ environment, including experience with troubleshooting memory leaks.
• Preferred: Documented experience with Python and frontend frameworks such as React (with examples of shipped projects or public code).
• Preferred: Experience with SQL databases, especially MySQL, with demonstrable data modeling or query optimization tasks.
• Strong written and verbal English skills, with the ability to document code and communicate effectively in a remote team environment.
• Sports technology or motion capture experience is highly desirable—if applicable, specify technology stack and the context of your use.
• Applicants must be able to provide verifiable references and/or code samples for relevant past work.

Additional Information:

• Extended periods of computer usage.
• Some travel to company locations and client sites may be needed.

To Apply
To apply, please follow this link.

Software Engineer – Dugout – KinaTrax

Location: Remote
Contract: Full-Time, Permanent
Salary: $101,000 – $134,000
Start Date: Asap

About Us:
KinaTrax’s mission is to provide professional and collegiate teams with game-changing insights about their most valuable asset: their athletes. We deliver research-grade markerless motion capture technology that allows teams to collect in-game biomechanical performance data on their athletes. KinaTrax camera systems are currently deployed in over 50 stadiums & labs across MLB, MiLB, NCAA organizations – and expanding rapidly.

Our comprehensive data capture & analysis tools are operationalized for daily use by players, GM’s, coaches, trainers, medical staff, and beyond. As the market leader in Major League Baseball, KinaTrax has established itself as a foundational part of the teams’ day-to-day strategy and decision-making machine. But we aren’t finished. We are constantly innovating and looking to recruit talented teammates to help us continue to revolutionize this space. Your contributions will focus on bringing the next generation of athlete performance data, across a variety of sports, to teams worldwide.

Job Summary:
The Software Engineer – Dugout will work alongside the larger KinaTrax product development team with a particular focus on KinaTrax data visualization tools including but not limited to KinaTrax Dugout. KinaTrax Dugout is a baseball specific web application tool which allows our clients flexibility for analyzing, comparing, and interpreting their KinaTrax data. You will be tasked with maintaining the current web application tools and assisting with further development efforts, including but not limited to the addition of new UI features and biomechanics metrics based on client needs. You will also be tasked with leading the integration of novel data sources into pre-existing and future web applications with the goal of developing data visualization tools that can be used for applied purposes based on sport specific needs.

You will work alongside the Head of Biomechanics and other members of the Dugout specific development team to ensure that KinaTrax data visualization tools continue to progress based on industry trends and the incorporation of client feedback. As part of your role, you may collaborate with other members of the product development team on specific projects outside of the data visualization space, where at times you may be expected to be a task or project lead.

Key Responsibilities:

• Continued development of the KinaTrax Dugout web application tool based on company needs and client requests.
• Lead the maintenance of pre-existing functions and dependencies in the KinaTrax Dugout web application tool.
• Development of new software applications, with priority on the development of web reporting applications for additional sports (i.e. NBA, NHL).
• Implement reusable components and contribute to improving the shared component library across web reporting applications.
• Integration of data using API concepts from a variety of sources, with the aim of optimizing data ingestion.
• Utilize data-driven solutions to ensure company information is stored effectively and securely.
• Perform proper quality assurance testing when implementing development changes to production.
• Stay up to date with front-end trends and bring forward suggestions for tools or techniques that improve productivity or code quality.
• Work closely with other developers and clients when applicable to improve site design and overall user experience.
• Update user documentation based on UI changes and data availability.
• Assist with non-data visualization product development tasks.

Qualifications/Experience:

• Proficient in programming languages including JavaScript (React, Node.js), HTML, CSS.
• Proficient with integration of browser APIs for optimizing data ingestion for visualization purposes.
• Experience in using cloud storage and computing platforms (i.e. AWS, Azure, Cloudflare, Dropbox).
• Experience using coding concepts aimed at optimizing performance and memory efficiency.
• Experience using Git for code collaboration purposes.
• Proven ability to work in a team setting, preferably as part of a product development team.
• Passion for sports and the use of athlete performance metrics.

Additional Information:

• Extended periods of computer usage.
• Some travel to company locations and client sites may be needed.

To Apply
To apply, please follow this link.

Database Architect (Full Stack) – KinaTrax

Location: Remote, US-based
Contract: Full-Time, Permanent
Salary: $116,000-$154,000
Start Date: Asap

About Us:
KinaTrax’s mission is to provide professional and collegiate teams with game-changing insights about their most valuable asset: their athletes. We deliver research-grade markerless motion capture technology that allows teams to collect in-game biomechanical performance data on their athletes. KinaTrax camera systems are currently deployed in over 50 stadiums and labs across MLB, MiLB, and NCAA organisations – and expanding rapidly.

Our comprehensive data capture & analysis tools are operationalized for daily use by players, GMs, coaches, trainers, medical staff, and beyond. As the market leader in Major League Baseball, KinaTrax has established itself as a foundational part of the teams’ day-to-day strategy and decision-making machine. But we aren’t finished. We are constantly innovating and looking to recruit talented teammates to help us continue to revolutionize this space. Your contributions will focus on bringing the next generation of athlete performance data across a variety of sports to teams worldwide.

Job Summary:
As a database architect, you will work alongside the larger KinaTrax product development team with a global focus on the continued development of tools aimed at a consistent, high-quality, end-to-end data solution for both internal and client-facing purposes.

You will be tasked with developing data architecture processes to be used for large-scale biomechanics/motion capture datasets across a variety of sports platforms. You will also be charged with further development of back-end and front-end tasks, including but not limited to hardware/software interfacing, cloud computing, and client-facing data visualization tools.

Key Responsibilities:

• Continued development of database(s) for all sport platforms with the aim of efficiently storing and navigating large biomechanics datasets.
• Continued development of client-facing API solutions, establishing database access for internal and client use cases.
• Optimization of server load balancing techniques with the aim of allowing for high-speed data egress alongside a continuously growing client base.
• Develop data-driven solutions to ensure company information is stored effectively and securely.
• Develop solutions to improve internal efficiency, aimed at improving data delivery and data sharing speeds for client purposes.
• Assist in the development of new software applications, with a priority on the development of web reporting applications for additional sports (i.e. NBA, NHL).
• Improve or implement UI/UX concepts within pre-existing or future client-facing tools used for data collection, visualization, and/or interpretation purposes.
• Improve or implement hardware/software interfaces within hardware solutions already in use, or future hardware solutions, determined based on company need and/or client feedback.

Qualifications/Experience:

• Proficient in programming languages including C++, Ruby, Python, MySQL, and JavaScript (React, Node.js)
• Proficient in using cloud storage and computing platforms (i.e. AWS, Azure, Cloudflare, Dropbox).
• Proficient in developing RESTful API solutions.
• Experience in programming languages, including JavaScript (React, Node.js), HTML, and CSS.
• Experience using coding concepts aimed at optimizing performance and memory efficiency.
• Experience using Git for code collaboration purposes.
• Proven ability to work in a team setting, preferably as part of a product development team.
• Experience with motion capture technology and data analysis tools is a plus.
• Passion for sports and the use of athlete performance metrics.

Additional Information:

• Extended periods of computer usage.
• Some travel to company locations and client sites may be needed.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by KinaTrax.

In Game 7 of the ALCS on Monday night, John Schneider’s Blue Jays pulled off a dramatic comeback in the bottom of the seventh inning that sent them to their first World Series in 32 years. The heroics came courtesy of George Springer, who hit a go-ahead three-run home run. But first, Schneider himself made a big decision in the top of the inning. With two outs and no one on base, Cal Raleigh stepped up. Two innings earlier, he had smashed a solo shot to give Seattle a 3-1 lead. Schneider wasn’t interested in facing him; he put up four fingers and called for the intentional walk.

Intentionally walking someone with the bases empty is a statement of strong fact: We absolutely cannot allow this person to hit a home run. To be fair, that’s definitely how Schneider felt in that moment; a home run would have been backbreaking for his team’s chances. Raleigh hit 60 of them in the regular season, so he’s obviously a pretty reasonable guy to fear when you’re specifically afraid of homers. But Josh Naylor, due up next, is a good hitter, too. And baserunners are bad in general. What did the math say about this move? Read the rest of this entry »

The 2026 Free Agent Tracker is now live! There are currently over 170 players on the list, and more will be added following the postseason as teams begin to clear space on their 40-man rosters and decisions are made about 2026 options. The Tracker will be updated regularly throughout the offseason as qualifying offers are made (and then accepted or rejected), and as free agents find their new homes.

You can filter by status (signed/unsigned), previous team, and signing team, and export the data for your own analysis. You can also sort by a player’s handedness, age, and 2025 WAR. Shortly after the postseason ends, projected 2026 WAR will be added to the Tracker, as will the results of our annual contract crowdsourcing project, which include median contract total, years, and average annual value estimates.

Read the rest of this entry »

Direct links to applications (please see job details below):

Applied Baseball Scientist
Computer Vision Analyst
Performance Analyst
Principal Developer
Senior Baseball Sciences Developer

Applied Baseball Scientist

DEPARTMENT OVERVIEW:
The Baseball Sciences department leverages cutting-edge research, data, and technology to enhance player performance, development, and overall team success. By integrating principles from biomechanics, sports science, data analytics, and artificial intelligence, the department plays a critical role in driving innovation on and off the field. The team works closely with coaches, medical staff, strength & conditioning experts, and front-office personnel to develop and implement evidence-based strategies that maximize athletic potential, improve player health, and optimize in-game performance. The Baseball Sciences department is committed to pushing the boundaries of sports science in baseball, putting the Red Sox at the forefront of technological and analytical advancements in the sport.

POSITION OVERVIEW:
The Boston Red Sox are seeking an Applied Baseball Scientist to help translate biomechanical insights into actionable coaching interventions across the organization. This role focuses on the application and evaluation of biomechanics and performance science data to inform skill-specific development, assess the effectiveness of training strategies, and refine program design. This role will work closely with coaches, coordinators, and performance staff to ensure that biomechanical insights directly support player development and on-field performance.

This is an opportunity to use your biomechanics expertise in a highly applied, coach-facing capacity, contributing to the measurement, iteration, and education of coaching practices throughout the organization.

RESPONSIBILITIES:

• Partner with coaches and coordinators to interpret results, provide ad-hoc analyses for high-leverage cases, and generate clear, actionable feedback for players. 
• Analyze and refine program design and training approaches, creating tools and frameworks that support consistent, evidence-based application across development settings. 
• Integrate biomechanics, force plates, wearable sensors, and performance testing data into decision-making processes to inform individualized player plans. 
• Contribute to educational initiatives that promote effective use of Baseball Sciences tools and ensure staff are equipped to apply biomechanical insights in their daily work. 
• Contribute to the broader innovation roadmap of the Baseball Sciences department through research, prototyping, and cross-disciplinary collaboration. 

QUALIFICATIONS

• Education:
• Bachelor’s or advanced degree in biomechanics, kinesiology, exercise science, engineering, statistics, data science, or a related quantitative field is preferred. 
• Applied Biomechanics: 
• Demonstrated experience analyzing biomechanical and performance science data, such as motion capture, force plates, wearable sensors, or computer vision. 
• Previous experience working directly with coaches and athletes, with the ability to communicate complex concepts in clear, practical terms. 
• Interest in and/or past experience with coaching, demonstrating an applied understanding of how to design training environments to target identified deficiencies. 
• Quantitative Analysis:
• Proficiency with data analysis tools (e.g., R, Python, SQL) and the ability to create intuitive visualizations and reports for non-technical audiences. 
• Strong applied research skills, with an ability to design studies, evaluate outcomes, and iterate on interventions. 
• Experience leveraging AI-assisted analysis tools for identifying and implementing solutions. 
• Soft Skills:
• A passion for leveraging biomechanics and performance science to improve player development and performance outcomes. 
• Spanish language proficiency is a plus. 
• Prior baseball playing experience is a plus. 

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

To Apply
To apply, please follow this link.

Computer Vision Analyst

DEPARTMENT OVERVIEW:
The Baseball Sciences department leverages cutting-edge research, data, and technology to enhance player performance, development, and overall team success. By integrating principles from biomechanics, sports science, data analytics, and artificial intelligence, the department plays a critical role in driving innovation on and off the field. The team works closely with coaches, medical staff, strength & conditioning experts, and front-office personnel to develop and implement evidence-based strategies that maximize athletic potential, improve player health, and optimize in-game performance. The Baseball Sciences department is committed to pushing the boundaries of sports science in baseball, putting the Red Sox at the forefront of technological and analytical advancements in the sport.

POSITION OVERVIEW:
The Boston Red Sox are seeking a Computer Vision Analyst to join our Baseball Sciences group. This role will focus on developing and deploying computer vision methods that transform raw video into actionable data at scale, driving improvements in player evaluation, training environments, and performance analysis. Working within a collaborative research and development team, the Computer Vision Analyst will help advance our ability to extract meaningful signals from the wealth of video available across baseball operations.

This is an opportunity to apply advanced quantitative skills to a broad range of problems in baseball sciences, supporting scouting, player development, and sports performance initiatives.

RESPONSIBILITIES:

• Develop and refine computer vision models to extract meaningful features from video, generating new datasets that enhance player analysis and performance research. 
• Collaborate with developers, analysts, and stakeholders to ensure computer vision outputs integrate effectively into organizational tools, systems, and workflows. 
• Build pipelines for video processing, feature extraction, and event detection at scale. 
• Partner with Baseball Sciences, Player Development, and other stakeholders to identify opportunities where video-derived data can enhance evaluation and training. 
• Contribute to the broader innovation roadmap of the Baseball Sciences department identifying novel opportunities for computer vision and machine learning applications.

QUALIFICATIONS

• Education:
• Bachelor’s, Master’s, or PhD in Computer Vision, Machine Learning, Computer Science, Engineering, Applied Mathematics, or a related quantitative field is preferred. 
• Computer Vision Expertise:
• Demonstrated experience developing and deploying computer vision models and algorithms using frameworks such as PyTorch, TensorFlow, Keras, OpenCV, or similar. 
• Proficiency in Python or R, with experience handling large-scale video and image datasets. 
• Experience applying computer vision methods to sports, biomechanics, or human movement data is a plus. 
• Deployment:
• Familiarity with database technologies (SQL) and data pipeline development. 
• Background in machine learning model deployment, cloud computing environments, or scalable infrastructure. 
• Experience leveraging AI-assisted analysis tools for identifying and implementing solutions.
• Soft Skills:
• Knowledge of public baseball analytics research or prior experience working with sports performance data is a plus. 
• Strong critical thinking skills, intellectual curiosity, and ability to communicate findings clearly to both technical and non-technical stakeholders. 

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

To Apply
To apply, please follow this link.

Performance Analyst

DEPARTMENT OVERVIEW:
The Baseball Sciences department leverages cutting-edge research, data, and technology to enhance player performance, development, and overall team success. By integrating principles from biomechanics, sports science, data analytics, and artificial intelligence, the department plays a critical role in driving innovation on and off the field. The team works closely with coaches, medical staff, strength & conditioning experts, and front-office personnel to develop and implement evidence-based strategies that maximize athletic potential, improve player health, and optimize in-game performance. The Baseball Sciences department is committed to pushing the boundaries of sports science in baseball, putting the Red Sox at the forefront of technological and analytical advancements in the sport.

POSITION OVERVIEW:
The Boston Red Sox are seeking a Performance Analyst to join our Baseball Sciences department. This role will leverage quantitative methods to assess athlete health, readiness, and performance across strength & conditioning, sports medicine, nutrition, and mental performance.

The Performance Analyst will work with diverse data streams—including force plates, weight room testing, wearable devices, and cognitive assessments—to provide actionable insights that support player availability, injury risk mitigation, and development. This position offers the opportunity to apply advanced analytical skills in a collaborative environment, directly influencing training practices and performance outcomes.

RESPONSIBILITIES:

• Analyze performance data from physical testing (e.g., force plates, weight room measures), wearables, and cognitive/vision assessments. 
• Build and maintain statistical models to evaluate player readiness, injury risk, and training effectiveness. 
• Develop objective frameworks to monitor athlete progression and workload management. 
• Translate findings into recommendations for staff across strength & conditioning, medical, and player development. 
• Create clear, data-driven reports and visualizations to support decision-making for coaches, staff, and front office stakeholders. 
• Communicate complex quantitative findings in a concise, actionable manner. 
• Partner with developers to integrate performance science metrics into organizational tools and applications. 
• Contribute to the broader innovation roadmap of the Baseball Sciences department through research, prototyping, and cross-disciplinary collaboration. 

QUALIFICATIONS

• Education:
• Bachelor’s degree or advanced degree in a quantitative field (statistics, data science, applied mathematics, engineering) or a relevant performance science field (exercise science, biomechanics, kinesiology) is preferred. 
• Performance and Sports Science Expertise:
• Demonstrated experience analyzing athlete performance data such as force plates, wearable technology, and weight room testing. 
• Knowledge of sports science, physiology, and strength & conditioning principles in elite performance environments. 
• Quantitative Analysis:
• Proficiency in statistical programming languages (Python, R, or similar) and ability to work with relational databases (SQL). 
• Strong background in data visualization and reporting, with the ability to tailor outputs to both technical and non-technical audiences. 
• Familiarity with statistical modeling, predictive analytics, and experimental design in applied settings. 
• Experience leveraging AI-assisted analysis tools for identifying and implementing solutions. 
• Soft Skills:
• Passion for baseball performance and player development is strongly preferred. 
• Spanish language proficiency is a plus. 
• Prior experience playing or working in baseball is a plus. 

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

To Apply
To apply, please follow this link.

Principal Developer

DEPARTMENT OVERVIEW:
Members of the Baseball Systems team at the Boston Red Sox are focused on designing, building, and refining the software and data pipelines used within Baseball Operations. These tools and applications are an integral part of the decision-making process, are directly integrated in the workflows of all departments within Baseball Operations, and provide an efficient, consistent, and accessible experience when interacting with our internal data sources and applications.

POSITION OVERVIEW:
The Principal Developer, Baseball Systems position will be a member of the baseball operations software development team, and is responsible for the design, development, and support, of all baseball systems. This individual will work closely with members of baseball operations to understand business requirements that drive the analysis, design, and development of quality baseball systems and solutions. This position is responsible for designing and building highly complex front end applications and will collaborate closely with colleagues on the software development team and baseball operations personnel from all departments.

RESPONSIBILITIES:

• Serve as critical resource and subject matter expert in the design and delivery of data-intensive, highly interactive interfaces that serve a broad collection of front office stakeholders.
• Contribute to the advancement of the overall architecture by partnering with domain leads, and establishing best practices and patterns through delivery.
• Participate in key phases of the software development process of critical baseball applications, including requirements gathering, analysis, effort estimation, technical investigation, software design and implementation, testing, bug fixing, and quality assurance.
• Responsible for the design and development of complex web-based user interfaces, web services, back-end logic, and other aspects of web applications.
• Actively participate with other software developers in design reviews, code reviews, and other best practices.
• Work closely at times with baseball analysts to design and implement solutions to their data needs.
• Respond to and resolve technical problems and issues in a timely manner.
• Identify and implement creative solutions for technical challenges.

COMPETENCIES

• Aptitude and ability to apply academic or applied experience in software development or data engineering related field.
• An understanding of frontend and backend development and proficiency with modern databases and programming languages.
• Ability to pick up quickly and think both creatively and critically to solve problems.
• A solid understanding of contemporary baseball and/or sports analysis and development practices.
• A team-player that collaborates effectively with technical and non-technical stakeholders. 

ADDITIONAL QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• 7+ years of deep experience building web applications in Angular, and experience developing with Typescript, CSS/Tailwind, GraphQL, and other modern development approaches.
• Experience with relational database design and development in SQL Server, Snowflake, MySQL, PostgreSQL, or similar technologies, is required.
• Experience building front-end visualizations using Three.js, D3, chart.js, or similar, is a plus.
• Experience developing with cloud technologies from Azure, GCP, or AWS are a plus.
• Experience integrating systems and data using third-party APIs and services are a plus.
• Ability to work autonomously and as a team in a fast paced environment.
• High level of attention to detail with the ability to multi-task effectively.
• Comfortable working remotely when required and using Zoom, Teams, Slack, Trello, and other tools to communicate with all team members.
• High degree of professionalism and ability to maintain confidential information.
• Excellent organizational and time management skills.

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

To Apply
To apply, please follow this link.

Principal Developer

DEPARTMENT OVERVIEW:
Members of the Baseball Systems team at the Boston Red Sox are focused on designing, building, and refining the software and data pipelines used within Baseball Operations. These tools and applications are an integral part of the decision-making process, are directly integrated in the workflows of all departments within Baseball Operations, and provide an efficient, consistent, and accessible experience when interacting with our internal data sources and applications.

The Baseball Sciences department leverages cutting-edge research, data, and technology to enhance player performance, development, and overall team success. By integrating principles from biomechanics, sports science, data analytics, and artificial intelligence, the department plays a critical role in driving innovation on and off the field. The team works closely with coaches, medical staff, strength & conditioning experts, and front-office personnel to develop and implement evidence-based strategies that maximize athletic potential, improve player health, and optimize in-game performance. The Baseball Sciences department is committed to pushing the boundaries of sports science in baseball, putting the Red Sox at the forefront of technological and analytical advancements in the sport.

POSITION OVERVIEW:
The Boston Red Sox are seeking a Senior Developer, Baseball Sciences to join our Baseball Systems department. This role will lead the design and development of specialized software tools that support biomechanics, sports science, and performance initiatives.

As a dedicated developer for the Baseball Sciences group, you will create intuitive applications, data visualizations, and reporting tools that directly impact player health, performance, and decision-making. This is an opportunity to bring advanced development skills to a cutting-edge area of baseball operations, working alongside developers, sports scientists, analysts, and coaches.

RESPONSIBILITIES:

• Design and build applications that integrate biomechanics and sports science data into performance workflows.
• Develop custom visualization tools and reporting platforms to support decision-making across Strength & Conditioning, Sports Medicine, Player Development and Scouting.
• Create flexible tools for workload monitoring and athlete performance tracking.
• Operate thoroughly and effectively through all phases of the software development lifecycle, from requirements gathering to deployment and maintenance.
• Collaborate closely with staff across performance and player development to ensure tools align with applied workflows.
• Provide mentorship and establish best practices within the Baseball Sciences domain.
• Contribute to the broader innovation roadmap of the Baseball Sciences department through research, prototyping, and cross-disciplinary collaboration.

COMPETENCIES

• Aptitude and ability to apply academic or applied experience in software development, data engineering, or a related field.
• An understanding of frontend and backend development and proficiency with modern databases and programming languages.
• Ability to pick up quickly and think both creatively and critically to solve problems.
• A solid understanding of contemporary baseball and/or sports analysis and development practices.
• A team-player that collaborates effectively with technical and non-technical stakeholders. 

ADDITIONAL QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 5+ years of professional software development experience, ideally with exposure to sports science or biomechanics data streams such as motion capture, force plates, and wearable technology.
• Proficiency in TypeScript and JavaScript, with experience in Angular (preferred) or React.
• Strong background in building complex web-based user interfaces and APIs.
• Experience with data visualization libraries (e.g., D3.js, Three.js) to represent biomechanics and workload data effectively.
• Exposure to GraphQL and using GraphQL engines such as Hasura
• Experience leveraging AI-assisted development tools for efficiency, debugging, and scaling solutions
• Interest in sports science, biomechanics, and athlete performance data, with the ability to translate domain needs into technical solutions.
• Database design and development experience (Snowflake and SQL Server preferred).
• Knowledge of modern baseball analytics and player development methods is a plus.

In addition to the above requirements, all roles within Baseball Operations are expected to effectively demonstrate our universal competencies related to problem solving, teamwork, clarity of communication, and time management, along with embodying our culture of honesty, humility, relentlessness, and commitment to DEIB.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Boston Red Sox.

Data Scientist – Baseball Analytics / Baseball Sciences

DEPARTMENT: R&D – Baseball Analytics / Baseball Sciences
ORGANIZATION: Chicago Cubs
REPORTS TO: Assistant Director, Baseball Analytics / Director, Baseball Sciences
LOCATION(S): Chicago, IL / Mesa, AZ / Remote
FLSA STATUS: Exempt
COMPENSATION: $65,000 – $115,000 USD

BEING PART OF THE TEAM
Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it?

OUR STORY
THE CHICAGO CUBS FRANCHISE The Chicago Cubs franchise, a charter member of Major League Baseball’s National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor.

HOW YOU’LL CONTRIBUTE
The Chicago Cubs are seeking Data Scientists to join our Baseball Analytics and Baseball Sciences groups in the Baseball Operations’ Research and Development department. These roles will focus on building models and applications that support baseball decision-making in the front office. Data Scientists will work closely with the rest of the R&D team to design and implement data processing pipelines, develop analytical methods that deepen our understanding and application of data, and deliver insights that inform decision-making across the organization. The ideal candidate will bring strong technical and analytical skills, with the ability to translate complex findings into actionable recommendations.

Data Scientists will specialize with a particular application in mind. Some potential examples:

• Pitching Analysis
• Position Player Analysis
• Major League Strategy
• Amateur Evaluation
• International Amateur Evaluation
• Professional Evaluation
• Quality Assurance, Validation, and Model Explainability
• AI Innovation

THE DAY-TO-DAY:

• Create data modeling pipelines that maintain up-to-date estimates of relevant baseball metrics
• Conduct quantitative research that establishes new insights for a domain specialization
• Collaborate with stakeholders to prioritize research and integrate the use of quantitative models in our decision-making processes
• Research, develop, and test methods and models for the purpose of player assessment, development, acquisition, and in-game strategy
• Support the implementation of new technologies and initiatives into existing analytical frameworks
• Effectively communicate findings through written reports, presentations, and visualizations
• Work with Baseball Systems team to integrate new statistical analyses, models, and data visualizations into Cubs web applications
• Build processes that identify, diagnose, and resolve data quality and model drift issues
• Handle data and analysis requests from the coaching staff and other departments within Baseball Operations

WHAT YOU’LL BRING:

• Proficiency with SQL, and at least one programming language commonly used in data analysis (e.g., Julia, MATLAB, Python, R)
• Strong foundation in statistical modeling, machine learning, and data visualization
• Strong organizational and problem-solving skills, with attention to detail

WHAT SETS YOU APART:

• Advanced degree and/or comparable work experience in a quantitative discipline
• Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences
• Demonstrated ability to work collaboratively within a team setting
• Prior experience/knowledge of baseball analytics and technologies

TOTAL REWARDS:

• On-site parking
• Transit benefits
• Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break
• Flexible work arrangement
• Casual work attire environment
• Complimentary Meal & beverage plan
• Cubs home game & spring training  game ticket allotment
• Access to campus wide Wrigley Field events & pre-sales
• 401K Plan Employee Contribution & Employer Match 
• Benefit Plans: Medical, Dental, Vision & Life Insurance
• Health & Wellness engagement & programming
• Variety of associate special events, volunteer opportunities and partnership discounts
• Tuition Reimbursement
• Free access to EV charging stations (Chicago-based)
• Free subscription to Marquee Sports Network (Chicago-based)

* This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate’s skills and experience.

The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique.

Response Expectations:
Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you.

The Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Chicago Cubs.