Area Scout, Amateur Scouting-S. California

Job Summary: The Royals are looking for area scouts to lead the identification and evaluation process of amateur prospects in their assigned geographic area to lay the groundwork for future acquisition opportunities in both the amateur and professional realms. Area scouts will need to be able evaluate a player’s physical abilities, skill level, and makeup on and off the field. Candidates must live or be willing to move to the Southern California area.

Position Accountabilities/Responsibilities:

• Submit written scouting reports throughout the year on players in designated area.
• Maintain personal rankings lists to help identify players crosscheckers and executives need to see.
• Conduct in-home visits with players and families to gain insight on a player’s makeup and build rapport. 
• Coordinate scheduling for games/events within assigned area for other various Royals personnel.
• Collect various information streams on players within assigned area to include video, performance data, medical information, testing, etc. 
• Develop a network within assigned area to gather information on amateur players.
• Present evaluations and information on players to Royals executives.
• Candidate must live or be willing to relocate to the Southern California area.  

Position Qualifications, Skills, and Experience Required:

• Bachelor’s degree
• 2+ years of relevant baseball experience (i.e., scouting, playing, coaching, baseball operations etc.)
• Strong communication skills, both written and verbal
• Excellent organizational skills 
• Strong computer skills
• Team player
• Comprehensive understanding of baseball statistics.
• Open to the contributions of and willing to work with non-Amateur Scouting departments like Research & Development, Behavioral Sciences, Performance Science and Medical
• Ability to work long, flexible hours
• Ability to travel regularly

Physical Requirements:

• Ability to lift items weighing as much as 15 pounds 
• Must be able to be productive in a work environment where the noise level can be high at times
• Specific vision abilities include close vision and ability to adjust focus
• Must be comfortable walking to navigate the facility to access the office, concourse, etc.
• Must be able to work extended hours and/or weekends as required by deadlines and event scheduling

The physical demands described here are representative of those that may be met by an employee to successfully perform the essential functions of this job.

This role is a Full-Time, Exempt opportunity that is eligible for Company Benefits, 401K, and PTO. This role is expected to have a standard 40-hour work week.

We also afford equal employment opportunities to qualified individuals with a disability. For this reason, the Kansas City Royals will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, the Club also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions please inquire with Human Resources by email at humanresources@royals.com.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Kansas City Royals.

Direct Links (Please see full job postings below):

Senior Data Scientist
Data Scientist

Senior Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

• Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

• Interpret data and report conclusions drawn from their analyses

• Present model outputs in an effective way, both for technical and non-technical audiences

• Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

• Ph.D. in statistics or a related field, or equivalent professional experience

• Strong background in a wide variety of statistical techniques

• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Salary Range: $115,000 – $145,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply:
To apply, please follow this link.

Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Data Scientist in Baseball Analytics. The Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Qualifications:

• Masters and/or BS degree in statistics or a related field

• Professional experience in a quantitative position is a plus

• Strong background in a wide variety of statistical techniques

• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Essential Duties & Responsibilities:

• Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models

• Interpret data and report conclusions drawn from their analyses

• Present model outputs in an effective way, both for technical and non-technical audiences

• Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze research in analytics that can help improve the modeling work done by the Baseball Analytics department

Salary Range: $80,000 – $110,000

For technical reasons, we strongly advise to not use an .edu email address when applying. Thank you very much.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the New York Mets.

Direct Links (Please see full job postings below):

Lead Data Engineer
Machine Learning Engineer
Lead Software Engineer

Lead Data Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Data Engineer with a passion for baseball and technology to lead the development of timely and reliable data pipelines. Your work will deliver the data that informs the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Serve as the tech lead for the Marlins’ Data Engineering team.
• Lead the design, development, documentation, and maintenance of schemas and ETL pipelines for internal databases and data warehouses that scale and adapt to future use cases.
• Break down complex data engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Implement and test collection, mapping, and storage procedures for secure access to internal and external data sources.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to automate and execute data engineering workflows.
• Develop algorithms for quality assurance and imputation to prepare data for exploratory analysis and quantitative modeling.
• Coordinate with data providers around planned changes to data feeds.
• Research, design, test, and implement generalizable software architectures for data ingestion, processing, and integration and guide organizational adoption and strategies for infrastructure maintenance and data-related cost savings.
• Define and encourage team-wide adoption of data engineering standards.
• Effectively communicate complex technical concepts to both internal and external audiences.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates, and provide guidance and technical mentorship for junior engineers.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Significant experience in back-end software design and development.
• Experience with ETL architecture and development in a cloud-based environment.
• Fluency in SQL and an understanding of database and data warehousing technologies.
• Proficiency with Python (preferred), Scala, and/or other data-oriented programming languages.
• Experience with automated data quality validation across large data sets.
• Familiarity working with virtual machines in a cloud environment.
• Strong software engineering and problem-solving skills.
• Expertise developing complex databases and data warehouses (e.g. BigQuery, RedShift, Snowflake) for large-scale, cloud-based analytics systems
• Experience with task orchestration and workflow automation tools such as Airflow.
• Proficient in designing, deploying, and managing containerized applications with tools such as Docker and Kubernetes.
• Ability to successfully coach junior engineers to grow in their own careers.

To Apply:
To apply, please follow this link.

Machine Learning Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Machine Learning Engineer with a passion for baseball and technology to implement, automate, and optimize our data scientists’ quantitative models. Your work will deliver the models that inform the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Optimize, automate, and validate quantitative models built using statistics, machine learning, optimization, and simulation.
• Develop, schedule, monitor, and maintain model training and prediction workflows.
• Develop and maintain abstractions for model deployment that allow our workflows to run efficiently and be easily adapted to future use cases.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to execute model training and prediction workflows.
• Create visualizations with dashboard or application development frameworks to deliver data insights to Baseball Ops users.
• Deploy REST APIs on top of fitted models using distributed computation to support real-time, client-facing integration.
• Coordinate with the broader engineering team to plan and implement changes to core infrastructure.
• Collaborate with data scientists to define and manage model productionalization and platform release plans.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Academic and/or industry experience in software design and development.
• Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation).
• Experience with cloud infrastructure and distributed computing.
• Experience with back-end development, including fluency with Python (preferred), R, or other data-oriented and statistical programming languages.
• Experience with relational databases and SQL development.
• Familiarity working with Linux servers in a virtualized/distributed environment.
• Strong software-engineering and problem-solving skills.

Job Questions:

1. What is one baseball data or modelling challenge that an MLB Research group faces? What would be your first step in tackling that problem?
2. Describe the most impactful work of your career. What made it so valuable?

To Apply:
To apply, please follow this link.

Lead Software Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Software Engineer with a passion for baseball and technology to lead the development of timely and reliable Baseball Ops applications. You will deliver the applications used throughout the Baseball Ops department to build a sustainable winning team in Miami.

Key Responsibilities:

• Lead the design, development, documentation, and maintenance of software to support all Baseball Operations workflows.
• Cultivate a high performing environment where individual contributions are well connected to broader organizational goals.
• Actively develop members of the engineering team, providing technical perspectives, coaching, support, and development opportunities.
• Facilitate communication and collaboration across the organization, including with non-technical staff, during software development and support processes.
• Define standards and practices to support the engineering needs of the organization, including the discovery, vetting, and implementation of new technologies and tooling as the industry evolves.
• Break down complex engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Architect and lead implementation of generalized application tooling to improve product outcomes and developer experience.
• Collaborate with organizational leadership to establish medium to long term planning strategies for software delivery.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Expertise in architecting and implementing modern application systems, including significant experience in one or more of the following domains:
• Front-end development: Working in modern, component-based frameworks like React, Vue, or Svelte, ideally having experience with meta-frameworks like NextJS.
• API development: Working in RESTful monolithic and microservice architectures, ideally across multiple languages.
• Strong experience working in cross-functional product teams, including with non-technical teammates, to design, develop, and deliver software products that meet user needs.
• Familiarity working with different methods of application delivery, including cloud providers (GCP, AWS, Azure), on-prem resources, and/or front-end cloud providers like Vercel.
• Proficiency with several of the following: TypeScript (preferred), JavaScript, HTML, CSS, Python.
• Fluency in SQL development and an understanding of relational database technologies.
• Strong software-engineering and problem-solving skills.
• A history of close collaboration with product designers, ideally including experience with design tools and practices.
• Experience adapting, retraining, and retooling in a rapidly changing technology environment.
• A history of successfully coaching junior engineers to growth in their own careers.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

Direct Links (Please see full job postings below):

Senior Analyst
Analyst

Senior Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As a Senior Analyst specializing in predictive modeling, you will play a pivotal role in transforming data into actionable insights to guide critical decisions across the organization. You will be responsible for developing and deploying sophisticated Bayesian models and automating workflows for cloud-based model deployment. Your role involves collaborating with cross-functional teams and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Lead the development and deployment of advanced predictive models using Bayesian methods.
• Collaborate with cross-functional teams to integrate predictive modeling into cloud-based applications and tools for baseball decision support.
• Mentor and provide technical guidance to junior analysts in the department, fostering a culture of continuous learning and innovation.
• Stay abreast of emerging trends and technologies in data science and baseball analytics, identifying opportunities for innovation and improvement.

Qualifications:

• Bachelor’s degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.
• 5+ years of experience building and deploying predictive models, with expertise in Bayesian methods using technologies such as Stan or PyMC.
• Proven track record of success in productionizing models in cloud environments, with experience in platforms such as AWS, Azure, Snowflake, or Google Cloud.
• Strong proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation and analysis.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Passion for baseball and a deep understanding of sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.

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 status.

Job Questions:

1. What is one baseball question you’d like to research? Please describe how you’d answer that question. (Max 300 words)

To Apply:
To apply, please follow this link.

Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As an Analyst specializing in predictive modeling within our Baseball Operations department, you will contribute significantly to data-driven decision-making processes. Your role involves developing and implementing advanced statistical models, collaborating with cross-functional teams, and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Develop and implement predictive models utilizing baseball data.
• Collaborate with cross-functional teams to integrate statistical analyses into cloud-based applications and tools for baseball decision support.
• Stay updated with emerging trends and technologies in data science and baseball analytics, identifying areas for innovation and improvement.
• Provide support to Senior Analysts in model development and data analysis tasks.

Qualifications:

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field.
• 3+ years of experience in building and deploying statistical models.
• Proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation.
• Strong communication skills to convey technical concepts effectively.
• Passion for baseball and familiarity with sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.
• Experience with Bayesian methods using technologies such as Stan or PyMC.
• Familiarity with cloud environments such as AWS, Azure, Snowflake, or Google Cloud.

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 identify, marital or veteran status, or any other protected status.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

Data Engineer

Marlins – Entry Level
Miami · FL
Player Operations: Team Administration/Operations

Position Summary:
The Miami Marlins are seeking a full-time Data Engineer for the Baseball Analytics department. The candidate will be responsible for designing, implementing, and optimizing ETL processes that ingest, validate, and organize baseball data. The Data Engineer will support the information requirements of our Baseball Operations deparments. Strong applicants will have experience with modern data processes and database management, with extensive knowledge of both SQL and Python.

Responsibilities:

• Continuously improve the department’s access to information; design, develop, and optimize ETL processes to ingest data from new data sources.
• Improve completeness, cleanliness, and timeliness of existing data sources.
• Write automated, production-quality Python and SQL scripts using effective code practices.
• Maintain high data quality standards. Proactively identify, diagnose, and resolve data issues.
• Learn, extend, and improve the existing database architecture – ensuring data is well organized for end-users and easy to connect to other data sources.
• Maintain a version-controlled code repository of ETL scripts.
• Collaborate with Baseball Operations staff to understand our organization’s information needs.
• Prioritize workflows effectively and share relevant expertise to best support data users.

Qualifications & Requirements:

• Strong work ethic, attention to detail, and ability to self-direct.
• Passion for engineering development, creativity, intellectual curiosity.
• Excellent interpersonal, verbal, and written communication skills.
• Demonstrated experience with SQL and Python.
• Demonstrated experience with ETL/ELT processes and database management.
• Experience working with data in various formats including JSON, CSV, etc.
• Degree in Computer Science, Information Systems, or equivalent.
• Understanding of and passion for baseball and baseball research.
• Ability to work extended hours including evenings, weekends, and holidays.

Nice to Haves:

• Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Familiarity with cloud computing platforms such as Snowflake, GCP, or AWS.
• Knowledge of container-based environments, including Docker and Kubernetes.

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 Miami Marlins.

Cape Cod Intern

Job Title: Cape Cod Intern
Department: Amateur Scouting
Reporting to: Assistant Director, Scouting & Baseball Operations
Job Classification: Part-time, nonexempt
Location (City, State): Cape Cod, Massachusetts

Description:
The Oakland Athletics are currently seeking a seasonal Cape Cod Intern for the Amateur Scouting department. This position will be responsible for the Oakland Athletics’ scouting coverage of the Cape Cod Baseball League during the summer of 2024.

Responsibilities:

• Evaluate amateur baseball players and create scouting reports on their current skills and projection of potential future skills.
• Produce, curate, and analyze video and other relevant data for targeted baseball prospects. 
• Establish relationships with coaches within the Cape Cod Baseball League to acquire pertinent information regarding player health and scheduling.
• Effectively communicate player updates to internal stakeholders. 
• Develop and maintain a detailed schedule to ensure appropriate coverage of players and teams across the Cape Cod Baseball League.

Qualifications/Requirements:

• High degree of baseball acumen and understanding of evaluating baseball skills. 
• Excellent interpersonal skills and the ability to communicate effectively with a wide variety of audiences.
• Strong organizational skills, time management, and attention to detail.
• Experience working with video equipment. 
• Flexibility to work extensive hours including nights, weekends, and holidays, as necessary to follow the Cape Cod Baseball League games. 
• Must have access to reliable transportation and housing accommodations in the region. 

The Oakland A’s diversity statement:
Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering – on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we’ve created a workforce in which every team member has the tools to reach their full potential.

Equal Opportunity Consideration:
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.

The base hourly rate for this role is $15.50.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Oakland Athletics.

Direct Links (Please see full job postings below):

Developer, Baseball Systems
Analyst, Baseball Analytics

Developer, Baseball Systems

Location: Boston, MA, United States
Status: Full-Time / On-Site

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 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 focused heavily on front-end development, and will collaborate closely with colleagues on the software development team and baseball operations personnel from all departments.

RESPONSIBILITIES

• Create leading-edge baseball solutions together with the software development team and others on new and existing baseball systems
• Contribute to the design and implementation of the software architecture and embrace a software engineering mindset
• 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

CHARACTERISTICS/QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field
• 0-2 years of front-end development experience building web applications with frameworks such as Angular or React, and experience developing with Typescript, CSS, HTML, C#, ServiceStack, T-SQL, or similar technologies, is required.
• Experience with relational database design and development in SQL Server, Snowflake, MySQL, PostgreSQL, or similar technologies, is required.
• Experience building front-end visualizations using 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
• An understanding of baseball, common terms, and analytic measures, is a plus

At the Boston Red Sox and Fenway Sports Management, we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.

Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.

Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.

To Apply:
To apply, please follow this link.

Analyst, Baseball Analytics

Location: Boston, MA, United States
Status: Full-Time / On-Site

DEPARTEMENT OVERVIEW:
Baseball Analytics supports the decision-making processes throughout Baseball Operations, including Player Valuation, Player Development, Major League Strategic Information, and Sports Science. Core responsibilities include predictive modeling, long-term research, report creation, and delivering the output of one’s work in a clear and digestible manner.

POSITION OVERVIEW:
The Boston Red Sox are seeking an Analyst for the team’s Baseball Analytics department. The role will support all areas of Baseball Operations while working closely with Director of Baseball Analytics, and our team of analysts.

This is an opportunity to work in a fast-paced, intellectually curious environment and to impact player personnel and strategic decision making.

RESPONSIBILITIES

• Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of player evaluation, strategic decision-making, decision analysis, etc.
• Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the Baseball Operations leadership.
• Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
• Other projects and related duties as directed by the Director, Baseball Analytics, and other members of Baseball Operations leadership.

CHARACTERISTICS/QUALIFICATIONS

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, computer vision, or operations research.
• Masters, PhD, or equivalent experience in one of the aforementioned fields preferred.
• Advanced understanding of statistical methods or machine learning techniques.
• Proficiency with modern database technologies including SQL.
• Demonstrated experience with programming languages (e.g., R or Python).
• Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.

At the Boston Red Sox and Fenway Sports Management, we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.

Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.

Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.

To Apply:
To apply, please follow this link.

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

Minor League Assistant, Baseball Systems

Location: Fort Myers, FL, United States
Status: Full-Time

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:
As the Minor League Assistant, Baseball Systems you will represent the Baseball Systems Front Office in Ft. Myers, responsible for minor league video, including collection, organization, distribution, and management. You will improve and advance the video process, including potential involvement of new software and hardware. In addition, you’ll be a key resource for Player Development staff in day-to-day needs related to the effective use of technology and video assets. This individual is expected to become proficient in the operation of all baseball technology across the minor league system. This includes Blast, Trackman, Portable Trackman, Camera Systems, KinaTrax, Hawk-Eye, and streaming video assets. Work with your supervisor to oversee the training of affiliate associates. Lastly, the Assistant will contribute in a supporting role to data engineering efforts that work toward complete and accurate data collection, developing new skills in support of these efforts.

RESPONSIBILITIES:

• Coordinate and oversee all Minor League video collection and distribution. Monitor video collection and ensure that it is up-to-date.
• Manage minor league BATS system, keeping the central database up to date.
• Manage affiliate video and computer equipment.
• Ensure video is easily accessible locally at the affiliates for coaches and over the internet for remote staff.
• Oversee creation of player video comparisons for priority players at least once per season (and as needed) with affiliate interns and Player Development coordinators.
• Proactively provide specialty video (both solicited and unsolicited) to coordinating staff, and ensure proactive video production by affiliate interns.
• Manage custom video sharing using BATS with other organizations to build-out our library of available video.
• Be a resource to Player Development staff to a reasonable extent as needed with technologies.
• Assist in the managing of the Affiliate Technology Associates. Assist in the training of associates in the use of all technologies.
• Travel to each affiliate and the academy in the DR at the beginning of the season to ensure all technology and video assets are operating smoothly.
• Provide support for technical issues.
• Work collaboratively with sports science personnel with new and existing technology.
• Become proficient in the operation and maintenance of baseball technology devices and manage the devices across the minor league system.
• Assist in implementing the technology used throughout the minor leagues, including Blast sensors, Trackman, Portable Trackman, Edgertronic High Speed Cameras, KinaTrax motion capture, Hawk-Eye, HitTrax, Trajekt Arc pitching machines, and other technologies.
• Manage the operation of KinaTrax motion-capture systems in the JBP cage and JBP stadium, as well as train interns on the operation of KinaTrax in JBP and at applicable affiliates.
• Manage the operation of the Hawk-Eye ball tracking and motion-capture system across all affiliates.
• Working with our Technology Specialist, respond to and resolve technical problems and issues in a timely manner across all minor league affiliates and in the DR.
• Maintain the streaming assets at all minor league affiliates and in the DR and insure games and supporting data are available to other baseball systems.
• Manage and contribute to the discovery of existing and emerging baseball technologies.
• Gain familiarity with data engineering processes and tools and contribute in a supporting role on a daily basis by performing the following:
• Using development tools to review the quality of Trackman and Hawk-Eye pitch data
• Becoming experienced with SQL to update database tables and make data corrections
• Learning Python to develop new processes in support of data engineering efforts

CHARACTERISTICS/QUALIFICATIONS:

• Excellent computer and device troubleshooting skills and ability to use Remote Desktop and other remote access technologies.
• Experience setting up and configuring equipment such as servers, computers, cameras, and other devices, is a plus.
• Experience with SQL, Python, R, or other languages is a plus.
• Up to 2 years of experience in baseball or another sport.
• Ability to work autonomously and as a team in a fast paced environment
• Strong interpersonal and communication skills, and an ability to establish and maintain effective working relations with those encountered in the course of work
• High level of attention to detail with the ability to multi-task effectively
• High degree of professionalism and ability to maintain confidential information
• Excellent organizational and time management skills required 

At the Boston Red Sox and Fenway Sports Management, we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.

Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.

Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.

To Apply:
To apply, please follow this link.

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

Data Operations Intern

Description:
Join TrackMan Baseball’s Data Operations team as a paid intern for the 2024 baseball season. You will have a vital role in a growing, fast-moving, entrepreneurial company that is breaking new ground in sports. In this position, you will primarily be responsible for reviewing and verifying TrackMan data from a significant number of major and minor league baseball, NCAA, and international stadiums during the 2024 baseball season.

The internship starts in early February and finishes at the conclusion of the major league baseball season. Interns are expected to work 8 hours a day and 5 days a week, and weekend availability is required. An hourly rate of $15.00 will be offered.

About TrackMan Inc.
TrackMan, Inc. is a US-based subsidiary of TrackMan A/S and is based in Stamford, CT, about 30 miles north of New York City. TrackMan A/S has developed a range of products for the golf market and is considered the gold standard in measurement of ball flight and swing path. TrackMan’s golf products are used by top touring professionals, teaching pros, broadcasters and governing bodies.TrackMan, Inc. introduced 3D Doppler radar technology to the baseball industry and the technology is now used by all major league baseball organizations and is a component of MLB’s StatCast system. TrackMan, Inc. is revolutionizing baseball data and has been featured in publications such as the New York Times, Sports Illustrated, FanGraphs, and ESPN.

Requirements:

• Thorough knowledge of baseball.
• Proficiency in Microsoft Excel.
• Strong attention to detail and ability to work well with others.

Desired Skills and Experience:

• Bachelor or Master’s degree in Statistics, Mathematics or a related field.
• Strong knowledge of databases, SQL, and R statistical software.
• Python or other scripting language experience.

This is a great opportunity for anyone eager to break into the baseball community and acquire valuable experience with data available exclusively to professional baseball franchises. Based on your performance and openings within the company, you will also have the opportunity to continue working with TrackMan after the internship concludes. During the internship, you will work with the entire TrackMan staff and gain further knowledge of how the company operates. Full training will be provided.

To Apply:
To apply, send a resume and cover letter to dpo@trackman.com

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

Software Engineering Intern

Description:
The Washington Nationals are looking for a software engineering intern to join the Baseball Research & Development team this summer. The Baseball Research & Development group is responsible for deriving insights from our baseball datasets, building proprietary metrics, and building a web application used throughout our baseball organization.

The software engineering intern will join our team of data engineers and web developers and will help build data imports, data pipelines, and add features to an internal web application used by the baseball operations front office, scouts, player development, and coaching staff. You will have the chance to engage in data engineering-focused initiatives, web development tasks, or a blend of both disciplines depending on your preferences and skills.
The internship will be for up to 12 weeks and will be in person in Washington, DC.

The Washington Nationals are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment 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:
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 VueJS and Ruby on Rails.
• Write documentation.

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:
• Experience with modern programming languages (e.g. Python, JavaScript, Ruby) and with SQL.
• Some experience working on the command line in a Linux-like environment.
• Some experience using git for version control.
• Experience with dataframe libraries (e.g. Pandas, Polars), web application frameworks (e.g. FastAPI, Flask, Node/Express, Rails), front-end frameworks (e.g. React, VueJS, Angular), or data orchestration frameworks (e.g Prefect, Dagster, Airflow) is preferred.
• Ability to work both collaboratively and independently with close attention to detail.
• Ability to communicate clearly and effectively.
• Enthusiastic about working in baseball.
• 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.

To Apply:
To apply, please follow this link.

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