Director, Baseball Systems

Location: Citi Field – Queens, New York
Status: Full time

Summary:
The New York Mets are seeking a Director, Baseball Systems to lead the product engineering team responsible for developing software for Baseball Operations. The Director, Baseball Systems will work closely with stakeholders across Baseball Operations, develop a deep understanding of the needs of a diverse set of stakeholders (e.g., players, scouts, field staff, front office personnel), and oversee the execution of a software development roadmap to enable better decision making, improve workflows, and present video, data, and other information in an intuitive format for users across Baseball Operations. The ideal candidate is an engineering and product leader with extensive experience as a full-stack software engineer with prior experience working in either an elite sports environment or for a technology company serving elite sports clients. Prior experience working in elite sports is preferred, but not required.

Essential Duties & Responsibilities:

• Partner with senior leadership to shape the product roadmap for the Baseball Systems Department and own its execution

• Lead and manage a product engineering team that possesses capabilities required to deliver best-in-class software applications for Baseball Operations

• Understand product needs of a diverse set of end users and drive the Baseball Systems team to nimbly and efficiently execute against priorities

• Ensure a maintainable codebase and software applications are both secure and reliable 

• Partner with Data Engineering and Baseball Technology & Video teams to ensure data and video capture and delivery meets the needs of end users

• Partner with Performance Technology team on the development of software to serve sports science, biomechanics, and athlete management use cases

• Take on engineering work as bandwidth allows

• Manage the department’s budget and make investment recommendations to senior leadership

• Build and maintain a department culture that is evidence informed, open and willing to debate, and in seeking continued growth (both from one another and from external sources)

Qualifications:

• Bachelor’s degree or equivalent experience in computer science or a related field

• 8+ years relevant professional experience, including experience managing a technical team

• Strong experience across the technology stack, including cloud (GCS, AWS, etc.), SQL, JavaScript (including Node.js, React), API frameworks (including REST, GraphQL), HTML and CSS (including popular frameworks like Tailwind)

• Experience in mobile development (Objective-C, Java) is a plus

• Experience working in collaboration with data engineers, analysts, designers, and third-party engineers

• Experience working in collaboration with non-technical personnel

• Experience with DevOps and Agile methodologies and modern development tools

• Experience with UX/UI design preferred

• Strong written and verbal communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with limited oversight

• Strong working knowledge of baseball including modern baseball performance data preferred

The 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 recognize the importance of a diverse workforce and value the unique qualities individuals of various backgrounds and experiences can offer to 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: $210,000 – $250,000

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.

I’m using a new format for our postseason managerial report cards this year. In the past, I went through every game from every manager, whether they played 22 games en route to winning the World Series or got swept out of the Wild Card round. To be honest, I hated writing those brief blurbs. No one is all that interested in the manager who ran out the same lineup twice, or saw his starters get trounced and used his best relievers anyway because the series is so short. This year, I’m sticking to the highlights, and grading only the managers who survived until at least their League Championship series. I already covered Stephen Vogt, Carlos Mendoza, and Aaron Boone. Today, I’m looking at Dave Roberts.

My goal is to evaluate each manager in terms of process, not results. If you bring in your best pitcher to face their best hitter with the series on the line, that’s a good decision regardless of the outcome. Try a triple steal with the bases loaded only to have the other team make four throwing errors to score three runs? I’m probably going to call that a blunder even though it worked out. Managers do plenty of other things — getting team buy-in behind closed doors for new strategies or unconventional bullpen usage is a skill I find particularly valuable — but as I have no insight into how that’s accomplished or how each manager differs, I can’t exactly assign grades for it.

I’m also purposefully avoiding vague qualitative concerns like “trusting your veterans because they’ve been there before.” Playoff coverage lovingly focuses on clutch plays by proven performers, but Luke Weaver and Brent Honeywell were also important contributors this October. Forget trusting your veterans; the playoffs are about trusting your best players. Mookie Betts is important because he’s great, not because he already had two rings. There’s nothing inherently good about having been around a long time; when I’m evaluating decisions, “but he’s a veteran” just doesn’t enter my thought process. Let’s get to it. Read the rest of this entry »

Well, the Angels aren’t waiting around, are they? In the week immediately following the World Series, the Halos have completed the only trade so far this offseason involving players going in each direction. They’ve also acquired Scott Kingery from the Phillies for cash considerations and executed a waiver claim on Oakland’s Ryan Noda, both low-risk acquisitions with the potential to fill a niche at the big league level.

The Triple-A first base depth chart for the Angels right now lists Noda alongside Niko Kavadas and Sonny DiChiara, which is a bumper crop of cube-shaped college sluggers if ever there were one. Someone find out what Tim Elko is up to and give him a call so the Angels can have the full set. But I digress.

Amidst all that other activity, Perry Minasian and Co. have made this offseason’s most notable free agent signing to date: right-handed pitcher Kyle Hendricks, late of the Chicago Cubs. Hendricks was the second major league free agent to sign so far this offseason, after Dylan Covey’s one-year deal with the Mets, and he’s a bigger name by far. A two-time Cy Young vote-getter and a cornerstone of the successful Cubs teams of the late 2010s, Hendricks joins the Angels on a one-year, $2.5 million deal. Read the rest of this entry »

Gino Groover is one of the most promising prospects in the Arizona Diamondbacks system. He is also one of the most intriguing. When profiling him for our D-backs list back in May, Eric Longenhagen wrote that the 22-year-old third baseman “was among the 2023 draft’s more volatile and exciting prospects.” Bullish on his potential, our lead prospect analyst added that “2024 might be a breakout season” for the right-handed-hitting North Carolina State University product.

Fate intervened. As Eric explained, Groover ended up having surgery to repair a displaced radius fracture suffered in a collision with a baserunner at first base, this after just four games with High-A Hillsboro. He missed three months, did a rehab stint in the Arizona Complex League, then rejoined the Hops on July 19.

He hit well upon his return. The former second rounder logged a 129 wRC+ over 175 plate appearances with the Northwest League club, and he followed that up with a 178 wRC+ over 55 plate appearances with Double-A Amarillo. Counting his eight games in the ACL, Groover finished the season with a .281/.367/.484 slash line, 10 home runs, and a 133 wRC+. And two other numbers merit mention: His strikeout rate was 13.6%, while his walk rate was 11.4%.

Grover is currently making up for missed development time in the Arizona Fall League, where he is slashing .370/.444/.389 over 63 plate appearances for the Salt River Rafters. He talked hitting prior to a game in mid-October.

———

David Laurila: How would you define yourself as a hitter? Also, do you feel that you’ve established an identity at this early stage of your career?

Gino Groover: “I mean, I think everybody is different, but finding yourself as a hitter — what your strengths are, and playing to your strengths — is something you don’t really want to deviate away from. I’ve always had a hit-first profile, letting my power come later as I’ve gotten bigger, stronger, and a little older.

“I have my approach, and, especially at this level, you can’t be afraid to be wrong sometimes. You obviously can’t go up there and expect to hit everything, so you don’t want to deviate from your approach. If you do, you’ll get caught in between and won’t hit either heaters or offspeed. So, whatever my approach is, I stick to it. Sometimes I’m right, sometimes I’m wrong, and we go from there, playing it by ear with whatever I’m seeing.” Read the rest of this entry »

Lead Analyst – Data Science

Location: Denver, CO
Status: Full-Time

ABOUT US:
The Colorado Rockies are a professional Major League Baseball team based in Denver, Colorado. The mission of the Colorado Rockies Baseball Club is to embody the principles and practices of a championship organization in both the sport and business of baseball. In the rich tradition that has made baseball America’s national pastime, we are committed to conducting our business with integrity, service, quality, and trust. We are committed to leveraging data and cutting-edge analytics to drive team success and enhance player performance. Our research and technology team is dedicated to using advanced statistical methods and machine learning to gain actionable insights that support strategic decision-making across all aspects of the team. We seek a talented Data Scientist to join our team and contribute to our mission of excellence.

POSITION SUMMARY:
We seek a highly skilled and experienced Lead Analyst to join our Colorado Rockies Baseball Club team. Enjoy tackling challenging problems, using interesting data, collaborating with smart people, and directly impacting what happens on the baseball field and in our business. This may be the opportunity for you! People in this role will use statistical and machine-learning techniques to understand and quantify the game of baseball better. Analysts must also be able to communicate clearly with members of departments across baseball operations, including technical and non-technical audiences. You will work alongside the rest of the R&D, data engineering, and IT groups, interacting with coaches, scouts, and executives from across the organization. This position offers an exciting opportunity to work in a fast-paced sports environment and contribute to the success of our organization.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Data Analysis: Design, build, test, and deploy statistical and machine learning models to support all facets of baseball operations, including scouting, player development, and the major league team. Analyze large and complex data on player performance, game statistics, and team metrics. Utilize statistical methods and machine learning techniques to uncover trends and patterns.
• Model Development: Develop and refine predictive models to forecast player performance, game outcomes, and other key metrics. Continuously improve models based on new data and feedback.
• Insight Generation: Translate data analysis into actionable insights and recommendations for coaching staff, management, and other stakeholders. Create detailed reports and visualizations to communicate findings effectively.
• Tool Development: Design and implement data tools and dashboards to support real-time decision-making and performance tracking. Ensure tools are user-friendly and meet the needs of various stakeholders. Use data to visualize model outputs and important baseball concepts. Designed and built informative data visualizations for automated reports or internal web applications.
• Research: Stay current with advancements in data science, machine learning, and sports analytics. Apply innovative techniques and methodologies to enhance the team’s analytical capabilities. Research specific areas of the game using statistical modeling. Build and maintain these models and take ownership of their results.
• Collaboration: Develop a deep understanding of the existing body of the R&D team’s research, code base, and database. Take on some responsibility for improving and maintaining existing projects. Perform ad hoc analyses on questions that come to Baseball R&D from across the organization.
• Data Management: Ensure accurate and efficient data collection, storage, and management. Maintain data integrity and address any data quality issues.
• Presentation: Prepare and deliver presentations to summarize findings and recommendations. Tailor presentations to different audiences, including technical and non-technical stakeholders.

JOB REQUIREMENTS:

• Education: Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. Certification programs are not considered equivalent.
• Experience: 5+ years of experience in data science, statistical analysis, or a related role, preferably within a sports or performance environment.
• Technical Skills:
  • Proficiency in programming languages such as Python or R for data analysis and modeling.
  • Experience with data analysis tools and libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow).
  • Programming skills in a language such as R or Python to work efficiently at scale with large data sets.
  • Strong knowledge of statistical methods and machine learning algorithms.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI).
  • Demonstrated research experience in a sports context (baseball is a plus).
  • Experience with a database language such as SQL.
  • Experience working with spatiotemporal data.
  • Experience working with high-dimensional time series data.
  • Experience with deep learning frameworks such as TensorFlow or Torch.
  • Experience with Bayesian statistics and languages such as Stan.
  • Enthusiasm for learning new skills related to programming, statistical modeling, and data visualization.
  • Experience with Generative AI techniques such as GANs, VAEs, or other generative models is preferred.

• Soft Skills:
  • Excellent analytical and problem-solving abilities.
  • Strong communication skills, with the ability to present complex data and insights clearly to various stakeholders.
  • Ability to work collaboratively with a team.
  • Comfortable working in a fast-paced sports environment and willing to adapt to changing priorities.
  • Ability to manage multiple projects with competing deadlines in a busy environment.

WORKING CONDITIONS/WORK SCHEDULE:

• Work Environment: The position is primarily office-based at Coors Field.
• Work Hours: Standard full-time hours with the potential for extended hours during key periods, such as during the season or critical project deadlines.
• Travel: Minimal travel is required, though occasional travel to team facilities or events may be necessary.
• Team Dynamics: Collaborative environment involving regular interactions with coaching staff, analysts, and front office personnel.
• Physical Job Requirements:
  • Sitting/Desk Work: Most work involves sitting at a desk and working on a computer. Prolonged periods of sitting and working with data are typical.
  • Typing and Hand Dexterity: Frequent typing and use of a mouse or other input devices are necessary. Good hand-eye coordination and fine motor skills are essential.
  • Visual Acuity: This requires the ability to review and interpret detailed data and visualizations, which necessitates good visual acuity and the ability to work with screens for extended periods.
  • Communication: Regular communication via email, video calls, and in-person meetings. Clear verbal and written communication skills are essential.
  • Stress Management: Ability to manage tight deadlines and multiple priorities while maintaining focus and accuracy. Capability to handle pressure during critical analysis periods or high-stakes projects.

COMPENSATION AND BENEFITS:

• Annual salary range of $125,000 – $145,000. This is a regular status, full-time position.
• As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, job-related skills, and any other factors the Colorado Rockies consider relevant to the hiring decision for this position.
• In addition to the base salary, the Club believes in providing a very competitive and generous compensation and benefits package for its employees. Benefits include, but are not limited to, Medical, Dental, Vision, 401(k) with employer match, generous vacation and holiday program, employee parking, employer provided game tickets to home games, onsite fitness classes and experiences, employee discounts on merchandise, and so much more! All benefits are subject to eligibility requirements and the terms of official plan documents which may be modified or amended at any given time.

APPLICATION PROCESS:

• Applications will be reviewed on a rolling basis but must be received by November 18^th, 2024.
• The estimated time to complete the recruitment process will be by December 20^th, 2023. Please note this is just an estimate, and the application process and recruiting process may extend or close at any time.
• A note for Colorado Rockies employees:
• Please apply via the internal job board in UKG by following these prompts: MENU > MYSELF > 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. 

EQUAL OPPORTUNITY EMPLOYER:
Rockies baseball is for everyone! We pride ourselves on hiring, developing, and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants and employees will receive consideration for employment or promotion without regard to race (including, but not limited to, traits historically associated with race, such as hair texture and length and/or protective hairstyles), color, national origin, gender identity, gender expression, sexual orientation, familial status, marital status, ancestry, age (40+), creed, religion, disability, veteran status, pregnancy/childbirth and related conditions, or any other category or activity protected by law. In addition, we will endeavor to provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities in compliance with the ADA. All employment and promotion decisions will be decided on the basis of qualifications, merit, and business needs.

To Apply:
To apply, please follow this link

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

It was the perfect exemplar of a Friday news dump, a quiet transaction between frequent trading partners. The Phillies and Angels swap players so often it’s sometimes hard to remember whether Brandon Marsh got traded for Logan O’Hoppe or George Klassen or Ron Gant. And while the Angels also made a splashy swap with the Braves the day before to acquire Jorge Soler, Philadelphia slipped another move in while nobody was looking: minor league infielder Scott Kingery to Los Angeles for cash considerations.

With all the fanfare of your buddy paying you back for buying Taco Bell on the way home the other night, an era is over.

Kingery could be a useful player for the Angels. He hit .268/.316/.488 in Triple-A last season, with 25 home runs and 25 stolen bases, playing mostly at shortstop with appearances at second, third, and in center field. The Phillies are pretty well set on the infield, but Kingery hasn’t appeared in the majors since June 8, 2022, when he went out to second base for a single defensive inning in a 10-0 blowout in Milwaukee. He hasn’t taken a major league at-bat since May 16, 2021, which is the last time he had anything like a regular roster role. Read the rest of this entry »

I’m using a new format for our postseason managerial report cards this year. In the past, I went through every game from every manager, whether they played 22 games en route to winning the World Series or got swept out of the Wild Card round. To be honest, I hated writing those brief blurbs. No one is all that interested in the manager who ran out the same lineup twice, or saw his starters get trounced and used his best relievers anyway because the series is so short. This year, I’m sticking to the highlights, and grading only the managers who survived until at least their League Championship series. I already covered Stephen Vogt and Carlos Mendoza. Today, I’m looking at Aaron Boone.

My goal is to evaluate each manager in terms of process, not results. If you bring in your best pitcher to face their best hitter in a huge spot, that’s a good decision regardless of the outcome. Try a triple steal with the bases loaded only to have the other team make four throwing errors to score three runs? I’m probably going to call that a blunder even though it worked out. Managers do plenty of other things — getting team buy-in behind closed doors for new strategies or unconventional bullpen usage is a skill I find particularly valuable — but as I have no insight into how that’s accomplished or how each manager differs, I can’t exactly assign grades for it.

I’m also purposefully avoiding vague qualitative concerns like “trusting your veterans because they’ve been there before.” Playoff coverage lovingly focuses on clutch plays by proven performers, but Luke Weaver and Brent Honeywell were also important contributors this October. Forget trusting your veterans; the playoffs are about trusting your best players. Juan Soto is important because he’s great, not because he won the 2019 World Series. There’s nothing inherently good about having been around a long time; when I’m evaluating decisions, “but he’s a veteran” just doesn’t enter my thought process. Let’s get to it. Read the rest of this entry »

Associate (Intern) – Baseball Systems

Location: Milwaukee, WI

Position Summary:
As part of the Baseball Systems department, this role will work closely with the Data Engineering and Software Engineering groups to enhance existing tools and processes, and build new ones using technologies that bridge multiple engineering disciplines.

Essential Duties and Responsibilities:

• Investigate user identified data quality concerns relating to areas such as game statistics, scouting reports, and transactions. Diagnose and fix the issue(s).
• Load new datasets from vendors into internal databases and make the data available to users.
• Develop user interface (UI) components using front-end technologies, ensuring user-friendly design.

Qualifications:

• Experience with programming languages such as Python, Java, C#, Javascript-based frameworks, and object-oriented programming (OOP) principles.
• Experience with SQL, including writing and maintaining queries.
• Experience working with relational databases such as SQL Server and PostgreSQL.
• Experience with advanced statistical baseball concepts, including advanced statistics and player evaluation metrics.

Our Team:

• Baseball Systems is the software backbone of the Milwaukee Brewers’ Baseball Operations department. We provide data and decision-making tools for analysts, coaches, and front office personnel to help win a World Series.
• Our department consists of a team of data engineers and a team of software engineers who work across all different aspects of Baseball Operations providing support and tools relevant to each group.
• We work directly with stakeholders in every department of Baseball Operations to ensure every project we work on drives value to the organization and helps us win more games on the field.
• We help drive technical innovation to find new ways to solve baseball problems.

Our Pitch:
You come here to make a difference. We are a purpose-led organization, focused on building an inclusive and engaging culture that fosters excellence, collaboration, and ingenuity. We strive to be a model employer and cultivator of talent, empowering our teams to drive innovation through the inclusion of diverse thoughts, ideas, and perspectives. We operate at the highest standard of excellence, investing in the development of our staff across all levels and embracing differences through a culture of respect and understanding.

We are proud to offer a highly competitive perks and benefits package including:

• League wide medical insurance plan
• 401(K) match and an additional annual contribution from the Club 
• Collaborative recognition program and incentives
• Online educational platform for personal and professional development
• Employee Resource Groups
• Paid time off for volunteering 
• Year-round diversity, equity and inclusion training and development
• Brewers Home Game tickets, promotional giveaways and other discounts!

For more information about our Crew, other benefits and insight into our Club culture please visit our Careers Page.

To Apply:
To apply, please follow this link

The content in this posting was created and provided solely by the Milwaukee Brewers.

Excuse us while we adjust our Top 50 Free Agents list. Coming off their first postseason appearance since 2015, the Royals have decided to keep the band together. On Sunday, the team announced that Michael Wacha has signed a three-year contract with a club option for a fourth year. Royals starters ran a 3.55 ERA in 2024, second only to the Mariners. Their 16.7 WAR trailed only the Braves. Now that Wacha is locked up long-term, Kansas City is set to return eight of the nine pitchers who started a game for the team during the 2024 season, led by ace Cole Ragans, Seth Lugo, and Wacha. The only exception is midseason acquisition Michael Lorenzen, who has entered free agency.

Wacha joined the Royals as a free agent before the 2024 season, inking a two-year, $32-million deal with a player opt-out. After running a 3.35 ERA and putting up a career-high 3.3 WAR, he was all but certain to exercise that opt-out. Instead, the 33-year-old is set to stay in Kansas City through at least 2027, his age-35 season. He’s also guaranteed to roughly double his career earnings to this point. The deal guarantees Wacha a minimum of $51 million and could be worth as much as $72 million. According to Mark Feinsand, Wacha will earn $18 million in the first two years. In 2027, he’ll have a base salary of $14 million, with performance bonuses that could push it to $18 million. If the Royals exercise their 2028 option, Wacha’s salary will feature the same 14/18 structure. If they decline the option, they’ll pay him a $1 million buyout. As Anne Rogers reported, five of the 10 largest contracts in franchise history now belong to players on the current roster. Wacha joins Lugo, Bobby Witt Jr., and Salvador Perez, who appears on the list twice thanks to two separate extensions, in that club.

The 2025 season will be the first since 2019 in which Wacha doesn’t pitch for a new team. He came up in 2013 and pitched for the Cardinals until 2019, then signed a succession of one-year deals with the Mets, Rays, and Red Sox. In 2023, Wacha signed with San Diego on a convoluted one-year deal that featured a club option for two more years (which the Padres declined), and player options for three more years (which Wacha declined). Read the rest of this entry »

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

Biomechanist
Data Scientist
Player Valuation Research Analyst
Senior Data Engineer, Baseball Systems
Senior Developer, Baseball Systems
General Baseball Operations Entry Level Opportunities

Biomechanist

Overview:
The Blue Jays are seeking a Biomechanist to join our Biomechanics team. This position works between Baseball Research, Player Development, and Scouting to push our understanding of player movement forward. The ideal candidate will have experience processing biomechanical data, finding insights, and communicating those insights to non-technical users.

Primary Focus:

• Conduct baseball biomechanical research and contribute to ongoing departmental research around player performance and health.
• Create tools that incorporate this research into decision making, as well as working to improve those processes.

Responsibilities and Duties: 

• Process biomechanical data, conduct data analysis, interpretation, and dissemination of pitching and hitting biomechanics data to players and staff. Create reports and visualizations to help explain findings. 
• Design, test, implement and maintain metrics and predictive models using biomechanical information to contribute to strategy and decisions in Player Development and Scouting projects.
• Collaborate with hitting, pitching, medical, strength and conditioning to incorporate biomechanical findings into the player development process.
• Keep up to date with current public and academic research related to the role and provide evidence-informed opinions (based on biomechanics studies) to contribute to decision making.
• Create new processes that integrate other biomechanical and human performance datasets into existing processes and modeling strategies.

Experience and Job Requirements:

• Either a post-graduate degree in biomechanics or demonstrated practical knowledge and understanding of biomechanical data.
• Experience with building pipelines to process large data sets. 
• Technical ability conduct analysis and visualizations on large data sets.
• Proficiency with R, Python or other similar mathematical language is required.
• Proficiency in Visual3D or Open Sim is required.
• Experience with scientific process, design, and analysis.
• Excellent reasoning, problem solving, creative thinking, and communication skills at tactical and strategic levels.
• Interpersonal skills to communicate effectively with a wide range of individuals from diverse cultures including members of the front office, scouts, field staff, and players.
• The ability to work with multicultural populations and a commitment to fairness and equality.
• Ability to work occasional evening, weekend, and holiday hours as dictated by the baseball calendar.

Beneficial Experience:

• Related work experience and accomplishment in elite sport industry and talent development is preferred.
• Experience with SQL or other rational databases is preferred.

To apply: 
Please follow this link: Biomechanist

Data Scientist

Overview:
The Blue Jays are seeking a Data Scientist to join our team and push our organization forward through the utilization of cutting-edge data methodologies and emerging technology. The ideal candidate will have experience taking data science problems from the idea/planning phase through completion and implementation while collaborating with others.

Primary Focus:

• To conduct baseball research and contribute to ongoing departmental research.
• To create tools that incorporate data into the decision-making process, as well as learning how decisions are made in all areas of Baseball Operations and working to improve those processes.
• To challenge current technical processes, explore new data sources that could provide competitive advantages, and propose novel ways to solve data-intensive problems.

Responsibilities and Duties:

• Design, test, implement and maintain advanced baseball metrics and predictive models to contribute to strategy and decisions across all departments within Baseball Operations.
• Conduct empirical research related to baseball strategy, player evaluation and player development whilst understanding how findings would apply to better decision making and increased operational effectiveness.
• Offer technical expertise to other members of the Baseball Research Department, providing constructive feedback and guidance.
• Collaborate with the front office, coaches, and scouts while conducting research. Results of this work should help those within the organization better understand, consider, and apply the use of information and data to their decisions.
• Work with the Development team to integrate new information into existing Baseball Operations processes and infrastructure.

Experience and Job Requirements:

• 4+ years working in the data science field, building predictive models and communicating results to non-technical users.
• Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
• Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, scouts, and field staff.
• Demonstrated ability to successfully design and execute rigorous quantitative research projects.
• Strong understanding of current baseball research.
• Proficiency with R, Python, or other similar statistical language.
• Proficiency with SQL and relational databases.
• The ability to work with multicultural populations and a commitment to fairness and equality.
• Ability to work occasional evening, weekend, and holiday hours as dictated by the baseball calendar.

Beneficial Experience:

• Ph.D. or Master’s degree in a quantitative field.
• Demonstrated experience with:
• Stan or another probabilistic programming language.
• Computer vision models and techniques.
• Machine learning methods, including clustering, boosting models, and neural networks.
• Timeseries analysis and biomechanical data.

To apply: 
Please follow this link: Data Scientist

Player Valuation Research Analyst

Overview:
The Blue Jays are seeking a Player Valuation Analyst to join our Research team and support our player evaluation processes in collaboration with our Professional and/or Amateur Scouting department. This position will primarily be office-based, leveraging video analysis, internally developed tools, and valuation methodologies. While prior baseball experience is a plus, it is not required. We are looking for candidates with strong analytical skills, attention to detail, and the ability to collaborate effectively across departments.

Primary Focus:

• Provide objective player valuations using proprietary tools and data.
• Work across departments (Scouting, Player Development, Research, etc) to improve our internal process for evaluating players. 
• Collaborate with scouts and analysts to inform player evaluations during drafts, trades, and signings.

Responsibilities and Duties:

• Filing scouting reports on acquirable players based on a thorough review of available data and video assets. 
• Interrogating outputs of predictive models to identify potentially undervalued acquirable players. 
• Maintain and enhance existing valuation models to ensure consistency and accuracy.
• Work with scouts to validate and complement subjective evaluations with data-driven insights.
• Monitor player performance trends to identify undervalued talent or areas of concern.
• Stay updated on the latest developments in baseball analytics and player valuation methodologies.

Experience and Job Requirements:

• Familiarity with baseball rules, strategies, and player development pathways.
• Experience with video analysis platforms and tools (e.g., Synergy, BATS, or proprietary systems).
• Excellent communication and collaboration skills to work effectively with scouts and front-office personnel.
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Ability to work with multicultural populations and a commitment to fairness and equality. 
• Ability to work occasional evening, weekend, and holiday hours as dictated by the baseball calendar.
• Possible travel of 10-20 nights per year. 

Beneficial Experience: 

• Previous involvement in baseball analytics, player development, or scouting (professional or amateur).
• Working knowledge of baseball projection systems. 
• Proficiency with R, Python, or other similar statistical language. 
• Proficiency with SQL and relational databases. 
• Experience working with scouting reports or baseball statistical databases
• Experience applying coding skillset to improve valuation models or develop custom tools.

To apply: 
Please follow this link: Player Valuation Research Analyst

Senior Data Engineer, Baseball Systems

Overview:
The Toronto Blue Jays are seeking an experienced Data Engineer to join their Baseball Systems team to help build their next generation of databases and data processing systems. In this role you will work on challenging and compelling problems with some of the largest and most exciting datasets in sports. Your work will impact the entire organization from Research and Development through to Scouting, Player Development, and the Major League team by giving staff and players access to the full range of available information. 

Primary Focus: 

• To build and maintain databases and other systems for storing baseball data. 
• To build processing pipelines to transform data and extract useful information. 
• Optimize new and existing data infrastructure to improve performance and scalability. 

Responsibilities and Duties:

• Design and build systems to store a growing volume of statistical, ball tracking, player tracking, and biomechanical data. 
• Build and maintain data pipelines for processing, transforming, and integrating large volumes of baseball data from a variety of sources and tracking systems. 
• Develop systems for reporting, monitoring, and quality control of incoming data to ensure that systems are performing as expected and the data conforms to required standards. 
• Understand and document database structures, data formats, definitions, and the limitations of current systems and establish future requirements. 
• Oversee the evaluation, selection, and rollout of new software and data infrastructure. 
• Complete ad-hoc database queries and analysis as required by the circumstances. 
• Provide technical assistance to other Baseball Operations staff and collaborate with the Research team to ensure they have the data and resources required for their work. 
• Recommend new data sources for purchase and new techniques to gather data. 

Experience and Job Requirements:

• Demonstrated experience building and maintaining relational databases and data warehouses. 
• Strong working knowledge of SQL and database programming. 
• Highly proficient with Python (preferred) or another general-purpose programming language for manipulating data. 
• Knowledge of database architecture, design patterns, and best practices to ensure system performance and long-term maintainability. 
• Exceptional problem-solving skills – finds pragmatic solutions to data and engineering challenges within time or technology constraints. 
• High attention to detail – anticipates and identifies potential issues early and strives to produce reliable and high-quality work. 
• Excellent interpersonal skills and the ability to effectively explain complex technical concepts to a wide range of individuals. 
• Ability to read, speak and comprehend English effectively. 
• The ability to work with multicultural populations and a commitment to fairness and equality. 
• Ability to work evenings, weekends, and holiday hours as dictated by the baseball calendar. 

Beneficial Experience:

• Bachelor’s degree in computer science, computer engineering, or other educational qualifications. Higher level academic qualifications are a plus. 
• Experience with a task orchestration framework such as Airflow, Luigi, or Dagster. 
• Experience with cloud services and infrastructure (Azure, AWS, GCP). 
• Experience with R programming and data visualization. 
• Experience working with baseball, sports, or biomechanics datasets is beneficial but not required. 

To apply: 
Please follow this link: Senior Data Engineer, Baseball Systems

Senior Developer, Baseball Systems

Overview:
The Toronto Blue Jays are seeking a talented and versatile Python developer to join our growing Research and Development team in Baseball Operations. In this role, you will help to design and build web applications that empower the work of users throughout the organization and directly impact decision-making in areas such as the Front Office, Scouting, and Player Development. 

Primary Focus:

• Design and build new features of internal web applications. 
• Work with end-users to collect requirements and feedback. 
• Develop creative approaches for displaying information. 

Responsibilities and Duties:

• Work closely with the Research & Development team to add new functionality to our existing suite of Python-based web applications to communicate their work to end-users. 
• Design and build new features to take advantage of new data and video sources, internal research, or to enable other organizational initiatives. 
• Contribute to code review, software testing, documentation, and maintenance of existing systems as part of a collaborative software engineering team. 
• Participate in technical decision-making that will shape the next generation of the Blue Jays’ baseball systems. 

 
Experience and Job Requirements: 

• Professional developer with experience designing and building web applications. 
• Highly proficient with Python and one or more web frameworks such as Django, Flask, Pyramid, SQLAlchemy or similar. 
• Strong understanding of foundational front-end web technologies (HTML, CSS, and JavaScript).
• Understanding of database development and proficient in SQL (especially MS SQL Server or PostgreSQL). 
• Experience using Bootstrap and CSS preprocessors with the ability to create front-end views matching designs or mock-ups. 
• Able to communicate with non-technical users to understand their roles and requirements and propose appropriate solutions. 
• Strong problem-solving skills – finds pragmatic solutions to data and engineering challenges within time or technology constraints. 
• High attention to detail – anticipates and identifies potential issues early and strives to produce reliable and high-quality work. 
• Invested in learning and gaining new skills, both technical and non-technical. 
• Passion for baseball and an interest in statistical and analytical aspects of the game. 
• The ability to work with multicultural populations and a commitment to fairness and equality. 
• Ability to work evenings, weekends, and holiday hours as dictated by the baseball calendar.

Beneficial Experience:
The following technologies or fields reflect potential projects for this role and experience with any of them is beneficial but not required: 

• Experience with UI design and tools such as Figma or Adobe CC applications. 
• Data visualization using libraries such as D3, Plotly, Three.js, or ggplot. 
• Experience with additional general-purpose programming languages (PHP, Ruby, Java, C# or similar). 
• Front-end JavaScript frameworks such as React, Angular or Vue. 
• CSS preprocessors such as SCSS, LESS or Stylus. 
• DevOps and CI/CD experience with Bitbucket Pipelines, GitHub Actions or similar. 
• Data manipulation, modelling, and visualization in R or Python. 

To apply: 
Please follow this link: Senior Developer, Baseball Systems

General Baseball Operations Entry Level Opportunities

The Toronto Blue Jays are seeking highly motivated and creative individuals to assist with day-to-day tasks across various areas of Baseball Operations, including Scouting, Player Development, High Performance, and Research & Development/Analytics. Start and end dates are flexible depending on the specific role, and we will consider both full-season and partial-season candidates. These positions are paid and may be based in Toronto, ON; Dunedin, FL; or one of our affiliate locations across Canada, the United States, or the Dominican Republic.

Key Qualities We’re Looking For:

• Passion for baseball, with excellent reasoning, problem-solving, creative thinking, and communication skills
• Strong interpersonal skills to collaborate with a wide range of individuals, from fellow staff to players
• Ability to work independently, self-direct tasks, and manage multiple projects with attention to detail
• Effective time management skills to balance priorities in a fast-paced environment
• Flexibility to work evenings, weekends, and holidays as required by the baseball calendar

The Blue Jays see diversity and employment equity as foundational to creating a successful culture. Applicants who may not traditionally feel empowered to apply for a job in this field are strongly encouraged to apply.
There are several roles with different primary focuses, with more detail on each broad type of position provided below. You only need to submit one application to be considered for all potential roles. We will match your skills and experiences to available opportunities. If you have a specific area of interest, feel free to highlight it in your application.

You may receive an email asking you to complete a more detailed follow-up application regarding your interests and employment goals. Please ensure that baseballresumes@bluejays.com is allowed in your email system. 

Role Summaries

Player Development Technology
This role is ideal for candidates interested in working closely with coaches and players through embedding themselves with teams at the Blue Jays’ development complexes or affiliates. Key responsibilities include:

• Serving as the point person for video, technology, and data resources
• Deploying and operating technology for recording data during both practice and game settings
• Organizing, cataloging, distributing, and reviewing video and data/advance resources for affiliate staff and other PD personnel
• Helping to track player goals and progress over the course of the season and collaborating across departments (Minor League Operations, Nutrition, High Performance) to support projects and processes
• Assisting with on-field activities (batting practice, fungos, catching pens) and day-to-day logistical needs of the team as needed

Proficiency in Microsoft Office is required; experience with video editing software and baseball-related data capture systems is beneficial. Spanish proficiency is also helpful and may be required in some cases.

Operations (Scouting, Baseball Operations, Player Development)
Candidates with excellent organizational skills and attention to detail will support the logistical and administrative functions of the scouting, player development, or baseball operations departments. Duties may include:

• Organizing, entering, and maintaining data and/or video resources
• Supporting departmental administrative tasks (expense reports, compiling statistics and rosters, meeting logistics, etc.) and responding to ad-hoc logistical or organizational needs
• Contributing to player evaluation processes through review of video and data
• In the Player Development department, additional duties may include translating documents to/from English and Spanish, and assisting with integration of technology into on-field work

Microsoft Office (especially Excel) proficiency is crucial; knowledge of baseball rules and regulations is also a strong asset. Spanish proficiency will be beneficial (required in some cases). Proficiency with data management and analysis tools like SQL, R, Python are also beneficial but not required.

Advance Scouting
This role involves supporting the Major League team with game-by-game and series-by-series preparation, using strong baseball knowledge to assist with:

• Collecting and organizing statistics for scouting reports, identifying patterns in player performance and team tendencies
• Editing and assembling video clips/visual presentations relevant to upcoming matchups
• Conducting ad-hoc research and analysis on players or the game of baseball in general
• Watching video to provide written evaluations and insights to coaching staff, helping to shape game strategies
• Supporting on-field video and data collection and operating game-prep technology 

Candidates with excellent knowledge of baseball rules and strategy and strong time management and organizational skills will excel here. Proficiency in video editing software and tools like R, Shiny, or similar platforms is helpful but not required.

Research & Development
This role is geared towards analytical thinkers passionate about using data to uncover new insights in baseball. Key responsibilities include:

• Conducting self-directed research using R, Python, SQL or similar tools
• Working on areas like data acquisition, organization, and cleaning, as well as statistical modeling and visualization
• Presenting research findings to front office members, coaches, or players, ensuring the work is accessible and actionable
• Providing logistical support during major baseball events like the Draft or Trade Deadline

In addition to the technological background mentioned above, experience with advanced modelling techniques or other specialized skills (Computer Vision, AI, Bayesian Modeling, Anomaly Detection, Time Series etc.) would be beneficial, but not necessary.

Baseball Systems Development
This role focuses on creating and supporting internal web applications and databases for Baseball Operations. Duties may include:

• Collaborating with end users to gather requirements, ensuring systems meet operational needs
• Engineering systems to acquire and store new datasets, improving data accessibility
• Designing intuitive front-end web interfaces for internal baseball information systems
• Experiencing and providing logistical support to key points on the baseball calendar

Experience with software engineering, web development, and database management is important, and examples of relevant work can be helpful in demonstrating your capabilities.

Biomechanics/Sports Science
This role is for candidates passionate about using Biomechanics or Sports Science to uncover insights about baseball and eager to apply their academic background to baseball. Responsibilities may include:

• Conducting data-driven research, using biomechanical data to inform player improvement strategies
• Working hands-on with players and staff to support data-collection and provide real-time feedback on movement and performance
• Staying up-to-date with the latest research in biomechanics, applying insights to support Player Development and High Performance
• Collaborating closely with R&D and Player Development to align research with player development goals

In addition to your academic background in this subject area, proficiency in statistical programming and data visualization is a plus but not required.

To apply: 
Please follow this link: General Baseball Operations Entry Level Opportunities

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 content in this posting was created and provided solely by the Toronto Blue Jays.