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

Baseball Analytics Fellow
Baseball Analytics Associate

Baseball Analytics Fellow

ABOUT US

The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America’s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.

ABOUT THE ROLE

The Baseball Analytics Fellow will support Baseball Operations and Research & Development by preparing, analyzing, and communicating data-driven insights that inform game strategy, player evaluation, scouting, and player development processes. This role is designed for an early-career analyst with strong technical skills, intellectual curiosity, and a desire to apply quantitative methods to meaningful baseball questions.

In this role, you will work with analysts, coaches, scouts, and Baseball Operations leadership to develop reports, visualizations, models, and research outputs that are clear, timely, and actionable. The ideal candidate is highly autonomous, communicates frequently, manages up effectively, and is comfortable supporting fluctuating baseball-season workflows.

RESPONSIBILITIES

Advance Preparation & Game Strategy

• Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
• Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
• Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
• Coordinate and deliver advanced reports to Major League staff in a timely, usable format.

Research, Modeling & Data Preparation

• Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
• Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
• Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
• Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.

Reporting, Visualization & Communication

• Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
• Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
• Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
• Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.

Operational Support

• Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
• Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
• Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
• Contribute to a positive, curious, and collaborative Baseball Operations environment.

QUALIFICATIONS:

Required

• Bachelor’s degree in a technical, quantitative, or otherwise relevant field, or equivalent demonstrated experience.
• Proficiency with SQL and at least one statistical programming language, such as R or Python.
• Experience preparing, cleaning, validating, and analyzing large or complex datasets.
• Foundational understanding of statistics, modeling, data visualization, and research design.
• Strong written and verbal communication skills, including the ability to explain analytical work to technical and non-technical audiences.
• Demonstrated ability to work autonomously, manage competing priorities, communicate frequently, and proactively surface questions or risks.
• Passion for baseball and curiosity about using data to support player evaluation, player development, scouting, and in-game decision-making.

Preferred

• Degree or coursework in statistics, mathematics, computer science, data science, engineering, economics, operations research, physics, or a related technical field.
• Experience with AWS or another cloud environment.
• Experience using Git or similar version control workflows.
• Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
• Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
• Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
• Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

SCHEDULE & TRAVEL

• This role follows the rhythm of the baseball season and requires flexibility based on game schedules, reporting cycles, and Baseball Operation’s needs.
• Workload and schedule may fluctuate throughout the season based on game schedules, trade deadlines, draft preparation, player evaluation cycles, and other departmental priorities.

PHYSICAL REQUIREMENTS

• Sedentary work: regularly required to remain in a stationary position, use a computer, communicate via phone/video/email, and review information on screens for extended periods.
• Occasionally required to move within an office or ballpark environment and attend meetings or events in person.

COMPENSATION & BENEFITS

• Salary: at the rate of $58,000 per year. The role is expected to earn approximately $25,000 for the duration of the assignment through October 31, 2026.
• This role may come with a housing stipend for non-local candidates.
• Full benefits package including medical, dental, vision, 401(k), PTO, and more, subject to plan eligibility and applicable policies.

APPLICATION PROCESS:

• Applications will be reviewed on a rolling basis but must be received by May 22, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
• The estimated time to complete the recruitment process will be by June 15, 2026.
• A note for Colorado Rockies employees:
  • Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
  • If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.

To Apply
To apply, please follow this link.

Baseball Analytics Associate

ABOUT US

The Colorado Rockies Baseball Club is embracing the climb, committed to building a championship-caliber organization on the field, in the clubhouse, and throughout our business operations. Playing at altitude presents unique competitive challenges and opportunities, and we embrace innovation, collaboration, and evidence-based practices to support elite performance. Rooted in the traditions of America’s pastime, we operate with integrity, service, quality, and trust while striving to create an exceptional experience for our players, staff, and fans.

ABOUT THE ROLE

The Baseball Analytics Associate will provide part-time analytical, reporting, visualization, and operational support to Baseball Operations and Research & Development. This role is well suited for a current student or early-career analyst who can contribute independently to recurring reports, data validation, ad hoc research, and lightweight tools while continuing to build technical and baseball operations experience.

RESPONSIBILITIES

Advance Preparation & Game Strategy

• Assist in the preparation, quality review, and distribution of advance scouting reports for upcoming opponents.
• Monitor daily lineups, roster moves, transactions, and other league information to support game planning and analysis.
• Conduct ad hoc research to inform game strategy, including analysis of ABS-related questions and comparisons across players, teams, and game situations.
• Coordinate and deliver advanced reports to Major League staff in a timely, usable format.

Research, Modeling & Data Preparation

• Assist analysts with data preparation, validation, cleaning, and quality checks for modeling and reporting workflows.
• Support predictive modeling projects by preparing datasets, engineering features, checking assumptions, and validating outputs.
• Conduct research related to player development, scouting, player personnel, league trends, and other Baseball Operations priorities.
• Support R&D staff with highly technical analysis, model development, and exploratory research based on departmental needs and the Fellow’s skills and interests.

Reporting, Visualization & Communication

• Develop visualizations, dashboards, lightweight tools, and other mechanisms for disseminating analytical results across Baseball Operations.
• Translate complex technical findings into clear, concise, and actionable insights for both technical and non-technical stakeholders.
• Provide written summaries, presentations, and recommendations that clearly describe methodology, assumptions, limitations, and practical implications.
• Help maintain and QA internal datasets, reports, and recurring workflows to ensure accuracy and consistency across sources.

Operational Support

• Provide operational support across Baseball Operations and R&D, including recurring reporting, special projects, and time-sensitive requests.
• Take ownership of assigned tasks and small-to-medium projects, driving them forward with limited day-to-day supervision.
• Collaborate with analysts, developers, scouts, coaches, and front office personnel to understand needs and deliver practical solutions.
• Contribute to a positive, curious, and collaborative Baseball Operations environment.

QUALIFICATIONS:

Required

• Currently enrolled in or recently completed an undergraduate (Junior going into Senior Year), graduate, PhD, postdoctoral, or technical program, preferably with a quantitative or technical focus.
• Experience with SQL and R or Python.
• General cloud experience, AWS exposure preferred.
• Experience with Git or similar version control preferred.
• Ability to communicate clearly, manage time independently, and provide frequent updates in a remote or hybrid environment.
• Interest in baseball analytics, player evaluation, advanced scouting, and/or game strategy.
• Ability to work in the United States and maintain availability during required Mountain Time work windows.

Preferred

• Degree or coursework in statistics, mathematics, computer science, data science, engineering, Experience with AWS or another cloud environment.
• Experience using Git or similar version control workflows.
• Experience developing web applications, dashboards, or interactive tools, including R Shiny, Python-based web apps, or similar frameworks.
• Experience with machine learning, predictive modeling, simulation, computer vision, or player-tracking data.
• Prior experience using AI tools to support software development, application building, analysis, or workflow automation; experience with Claude or similar tools is a plus.
• Familiarity with public baseball research, baseball datasets, player evaluation concepts, scouting processes, or advanced scouting workflows.

SCHEDULE & TRAVEL

• This role follows the rhythm of the baseball season and requires flexibility based on game schedules, reporting cycles, and Baseball Operations needs.
• Workload and schedule may fluctuate throughout the season based on game schedules, trade deadlines, draft preparation, player evaluation cycles, and other departmental priorities.

PHYSICAL REQUIREMENTS

• Sedentary work: regularly required to remain in a stationary position, use a computer, communicate via phone/video/email, and review information on screens for extended periods.
• Occasionally required to move within an office or ballpark environment and attend meetings or events in person.

COMPENSATION & BENEFITS

• Salary: at the rate of $19.29 per hour for the duration of the assignment through October 31, 2026.
• Part-time benefits include 401(k), sick time, and access to the Employee Assistance Program, subject to plan eligibility and applicable policies.

APPLICATION PROCESS:

• Applications will be reviewed on a rolling basis but must be received by May 22, 2026. Please note that this is just an estimate, and the posting may be removed or extended at any time.
• The estimated time to complete the recruitment process will be by June 15, 2026.
• A note for Colorado Rockies employees:
  • Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > MY COMPANY > VIEW OPPORTUNITIES > select the position > CONSENT > APPLY NOW
  • If you cannot access UKG, please list your most recent Manager as an Employee Reference on your application.

To Apply
To apply, please follow this link.

The content in this posting was created and provided solely by the Colorado Rockies.

The Retro FanGraphs Sweatshirt is back in stock!

We partnered with the clothing brand Ellsworth & Ivy to make these retro-themed FanGraphs sweatshirts. They have fully stitched chenille lettering and a stitched logo near the bottom hem:

As a quick reminder, when we put these up for sale in January, they sold out in 24 hours. So get yours before they’re gone!

Over in the RosterResource corner of the site, Jason Martinez and I get a lot of suggestions for things to add, none more popular than something to the effect of “Can we get a way to look at all 30 teams at once?” And now you’ve got it, with the Roster Grid. This was a popular feature in the pre-FanGraphs days of RosterResource, and now it’s back and better than ever:

The view defaults to all 30 teams, grouped by division and stacked (i.e., you’ll scroll down to see more teams), but using the toggles you can customize your viewing experience to:

• Flip lineups from the team’s “go-to” vs. righties to their “go-to” vs. lefties.
• View just a single league or division.
• Switch to a “packed” view such that all of your selected teams will be in a row, allowing for scrolling from left or right (this may be your preferred view for mobile).

This view isn’t meant to replace the main RosterResource pages, which include full 40-man rosters, notable minor league players, lineups, bullpen usage, and statistics. Rather, it’s a quicker “at a glance” view of who’s currently active, versus on the IL, Paternity List, Restricted List, Bereavement List, or Family Medical Emergency List. And for Members, it’s exportable to Excel!

Feedback is welcome and much appreciated, so if you think we’re missing anything that could be incorporated into a future edition of the Roster Grid, please leave a comment!

And of course, as always, thanks to all of our readers and Members for your support. We couldn’t have made all of the additions we have to RosterResource this year without you.

Last week, we released a baseball simulator in the FanGraphs Lab. This week, we’re adding home field advantage to the simulator. You can toggle HFA on and off using a new menu option:

The chosen home field advantage will then be applied to whatever simulation you run. But how do we calculate home field advantage in this simulated environment? Let’s go over it. Read the rest of this entry »

Front-End Software Engineer – 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 and 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 – Front End 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 other members of the 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.
• Work closely with other developers and clients when applicable to improve site design and overall user experience.
• Stay up to date with front-end trends and bring forward suggestions for tools or techniques that improve productivity or code quality.
• 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.

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

For most of the first two weeks of the 2026 season, just about everything was coming up Yankees. In what was supposed to be a highly competitive division, the Yankees burst out of the gate with eight wins in their first 10 games. None of those victories came against pushover teams, and they were also convincing wins, with the lineup scoring more than twice the team’s runs allowed. Just as importantly, the teams expected to rival the Yankees all got off to mediocre (or worse) starts. The Bronx Bombers had a 3 1/2 game cushion in the AL East, about as large as one can reasonably hold in a tough division after 10 games. Then, things happened.

After the games of April 7, ZiPS had the Yankees with a projected two-game edge in the East, and a 35% chance of winning the division. While these numbers didn’t suggest dominance or anything remotely resembling a guarantee, that was a four-game swing from the preseason projected standings (New York was initially two games back of Boston) and a solid bump from their 20% odds to win the division.

While none of the games were one-sided affairs, the Yankees proceeded to drop five in a row against the Athletics and Rays, only winning on Monday in the ninth inning against the Angels after a Jordan Romano meltdown. Had they lost, it would have left the Yankees without a share of first place for the first time this season. Read the rest of this entry »

Applied AI Engineer

Summary
The New York Mets are seeking an Applied AI Engineer to build and ship production-grade AI capabilities that improve decision-making and streamline workflows across Baseball Operations. This role sits at the intersection of Baseball Systems (software engineering), Data Engineering, Baseball Analytics, Performance Technology, and modern generative AI. You will develop reliable AI-powered applications such as retrieval-augmented generation (RAG), secure tool/data integrations (MCP-style patterns), and agentic workflows that can support deep work and research, while ensuring strong standards for quality, security, privacy, and operational excellence.

This is a hands-on role for an engineer who can translate ambiguous baseball operations and player development needs into working software, iterate quickly with stakeholders, and harden solutions into durable systems used daily by analysts, coaches, scouts, and baseball operations staff.

Note: This role will require extensive in-person collaboration and innovation alongside stakeholders, analysts, and engineers. Applicants must be local to NYC (or willing to relocate) and be able to travel to Citi Field regularly. Travel to Spring Training and affiliates may also be required.

Essential Duties & Responsibilities

• Design, build and maintain AI-powered product experiences that provide intuitive access to baseball information and statistics and workflows across internal systems.
• Develop end-to-end RAG pipelines (ingest, chunking, embedding, retrieval, generation) with strong attention to answer quality, baseball relevancy, analytics accuracy, latency, and cost.
• Implement secure tool and data connectors for AI assistants and agents using standardized patterns (MCP-style), enabling safe interaction with internal APIs, data warehouses, and services.
• Build agentic workflows that can execute multi-step tasks (research, analysis, synthesis, report generation) with clear guardrails, auditability, and human-in-the-loop approvals.
• Partner closely with Product, Analytics, Performance Technology, Player Development, and Baseball operations stakeholders to frame problems, define success, and deliver measurable impact.
• Contribute to shared engineering standards and reusable components so AI capabilities scale across multiple products and teams.
• Ensure strong security and privacy practices (access control, data boundaries, logging and auditing, and safe handling of sensitive information).
• Participate in high-availability support expectations as needed during critical operational periods throughout the baseball season, and during feature releases.

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience.
• 5+ years of professional software engineering experience, including building and operating production services.
• Demonstrated experience building LLM-powered applications in production (prompt/program design, structured outputs, tool calling, reliability patterns).
• Practical experience with retrieval systems (search, embeddings, vector databases, ranking, chunking/indexing) and applying them to real workflows.
• Strong experience with modern backend and data integration fundamentals: APIs, SQL, distributed systems, and cloud infrastructure (GCP/AWS/Azure)
• Proficiency in one or more production languages commonly used for AI applications and services (e.g. Python and/or Typescript)
• Approach work as highly collaborative and stakeholder-driven, with the ability to operate in ambiguity while iterating quickly.
• Strong written and verbal communication skills with the ability to explain tradeoffs to technical and non-technical audiences.
• Experience working in sports, health, finance, or other high-stakes analytics-heavy environments, preferred.
• Strong interest in baseball and comfort working within the culture of a professional sports organization, preferred

he above information is intended to describe the general nature, type, and level of work to be performed. The information is not intended to be an exhaustive or complete list of all responsibilities, duties, and skills required for this position. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. The individual selected may perform other related duties as assigned or requested.

The New York Mets value the unique qualities individuals with various backgrounds and experiences can offer the organization. Our continued success depends heavily on the quality of our workforce. The Organization is committed to providing employees with the opportunity to develop to their fullest potential.

Salary Range: $180,000 – $200,000

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.

Synergy Sports Cape Cod Video Scout

Company Description
We’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

Job Description
ABOUT US:
Synergy Sports is seeking motivated candidates to work as Video Scouts for the 2026 Cape Cod Baseball League season – the premier collegiate summer wood-bat league in the United States. Synergy Sports provides world-class video scouting for baseball globally at all professional and amateur levels. We are the exclusive video provider of the CCBL to Major League clubs.

Cape Cod Video Scouts will capture live multi-angle video footage from every game of the CCBL season and upload video/data to the Synergy platform for client use. Video Scouts may also be asked to track rosters and perform various data audit projects throughout the summer. The Video Scout position is in conjunction with Blast Motion, where you will also be responsible for the distribution of Blast sensors to each player pre-game and collection/upload of Blast swing data. Many past Synergy Video Scouts have moved on to roles with Major League and Collegiate baseball organizations. The position will run from early June to mid-August and will include hourly compensation.

We are also hiring Regional Video Scouts to fulfill similar responsibilities for various showcases and tournaments throughout the summer of 2026. We are looking for Video Scouts in the Southeast (GA, FL, AL, NC), Southwest (CA, AZ, TX), Midwest (IN, IL, KC), and Northeast (NY, MA, PA).

THE CHALLENGE:

• Manage game day video and technology equipment for data capture.
• Manage distribution and collection of Blast Motion sensors.
• Serve as Synergy liaison on-site for Cape Cod teams and pro scouts.
• Track and update rosters and player information.
• Verify data accuracy and video quality.
• Provide daily updates to staff and content partners.

ABOUT YOU:

• Knowledge of and strong interest in baseball operations, amateur scouting, or
• player development.
• Proficiency with computers (Windows, Mac).
• Experience with video equipment, including cameras, SD cards, tripods, and
• clamps is preferred.
• Experience in College Baseball, Softball, or Minor League Baseball is a plus.
• Strong work ethic, organizational skills, and attention to detail.
• Must have access to reliable transportation and housing on the Cape.

Payment: $15 per hour. Daily wage earned is dependent on number of games worked.

Additional Information
Sportradar intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors including but not limited to experience, qualifications, and location. Base pay is just one component of the Total Rewards that Sportradar provides to compensate and recognize employees for their work. Sportradar offers best-in-class benefits such as a comprehensive benefits package, performance bonus program, equity stock purchase and 401k contribution. Please consult with your recruiter to learn more as all benefits are subject to eligibility requirements.

At Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!

To Apply
To apply, please follow this link.

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

FanGraphs now has a Statcast Bat Tracking section available on both the player pages and the leaderboards.

The following stats are included, with basic definitions from the MLB Statcast glossary. Please refer to the linked Statcast glossary page for more in-depth descriptions of the statistics.

Bat Speed (BatSpd): “How fast the sweet spot of the bat is moving, in mph, at the point of contact with the ball (or where the ball and bat would have met, in case of a swing-and-miss).” (MLB glossary link) Read the rest of this entry »

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

Data Engineer
Application Developer

Data Engineer

Summary of Responsibilities The role of the Data Engineer will be to maintain and further develop the modern, scalable, baseball data pipeline for the St. Louis Cardinals. This person will collaborate with the Baseball Systems group to ensure high quality data is available to scouts, coaches, players, and other baseball decision-makers. This person should be detail-oriented, enjoy collaborating with others, communicate effectively, both verbally and written, have a growth mindset, and love the game of baseball.

Essential Functions of the Job

• Build and support components of our data pipeline that ingests raw baseball data and outputs baseball data ready for review and analytics modeling by Baseball Operations
• Continuously extend our data pipeline to ingest additional data sources and handle increasingly dense datasets
• Continuously improve our data pipeline by reducing latency, reducing cost, and reducing errors
• Communicate effectively with Baseball Operations staff to ensure we are anticipating and supporting their data needs
• Rigorously test our data pipeline to improve its quality and maintainability over time

Minimum Education and Experience

• Bachelor’s degree in a technical field, or a combination of relevant education and work experience
• Experience identifying, triaging, and resolving data issues
• Interest in modern data system architectures, design patterns, and best practices
• Ability to apply creative solutions to challenging technical tasks
• Ability to work independently in a fast-paced environment
• Proficiency with more than one modern programming languages
• Familiarity with data-related concepts such as data pipelines, databases, SQL, JSON, and REST APIs

Education and Experience Preferred

• Professional experience in a software engineering, data reliability, and/or a quality assurance environment
• Proficiency with Python or Go (or proficiency with multiple languages and a desire to learn Python or Go)
• Proficiency with DevOps tools including Git, CI/CD pipelines, and configuration-as-code
• Proficiency with Cloud computing, Kubernetes, and/or container-based or serverless application deployment

To Apply
To apply, please follow this link.

Application Developer

Summary of Responsibilities
The role of the Application Developer will be to design, develop, and maintain baseball-related applications for the St. Louis Cardinals. This person will collaborate with fellow developers, analysts, systems engineers, and Baseball Operations staff to ensure that high quality data, analytics, and visualizations are accessible in a timely fashion to front office members, scouts, coaches, trainers, and players. This person should be detail-oriented, enjoy collaborating with others, communicate effectively both verbally and in writing, and have a strong interest in the game of baseball. This individual will be expected to work on projects independently, participate in code reviews and maintain coding standards, assist in troubleshooting and debugging efforts, and stay updated with the latest trends and best practices in application development.

Essential Functions of the Job

• Build and support new applications used Baseball Operations staff to engage with player information, performance, and projections used to guide baseball decisions.
• Create and maintain intuitive interfaces for scouts, coaches, and players to enter and view pertinent information, enhance their day-to-day workflow, and visualize complex data effectively.
• Investigate and evaluate new technologies and work to incorporate cutting-edge tools into new and existing applications.
• Communicate effectively with Baseball Operations staff to improve training, generate feedback, and build relationships with users from differing backgrounds.
• Rigorously test and make appropriate fixes and adjustments to applications developed by yourself and other team members.

Minimum Education and Experience

• Bachelor’s degree in computer science, software engineering, or a related field.
• A minimum of 2 years of web development through work experience, internships, co-op programs, or personal projects.
• Experience with web development frameworks and libraries, such as Angular, React, or Vue.js.
• Proficiency in HTML, CSS, and TypeScript.
• Familiarity with version control systems like Git.
• Experience interfacing with relational databases.
• Design and development of user interfaces with backend services.
• Familiarity with AI-assisted development tools and eager to integrate them into daily workflows to enhance productivity and code quality.

Education and Experience Preferred

• Experience developing backend services with Go (Golang).
• Interest in building reusable UI components.
• Proficiency in designing intuitive and visually appealing user interfaces (UI).
• Interest in creating data visualizations using frameworks such as d3.js, Three.js, and GSAP.
• Experience with Javascript/Typescript testing methodologies and tools.
• General knowledge of current MLB analytics, news, markets, trends, etc.

To Apply
To apply, please follow this link.

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