The year of the splitter has come and gone. Actually, those of us who follow these things closely know that both 2023 and 2024 were considered the years of the splitter, and then we established back in March that 2025 would be the year of the kick change. While major league pitchers ran a 3.3% splitter rate in 2025, the highest mark since the pitch tracking era started in 2008, that represented a jump of just 0.21 percentage points from 2024. It’s a difference of less than one splitter per team every three games. While the number is still going up, the big increases came in 2023 and 2024, and the pace fell off this year.

That graph makes it official. This isn’t the year of the splitter. But now let me add another line to that graph. That was the regular season. We’re in the thick of the playoffs, so let’s throw the postseason in the mix, too. If you saw that first graph and wondered why I left all that empty space at the top, well, now you know.

That’s more like it. October 2025 has seen a splitter explosion. The red line is always going to be more volatile than the blue line because the postseason is such a small sample, but even so, the playoffs have seen a 6.6% splitter rate. That’s not just the highest we’ve ever seen. It’s twice the rate for any regular season or postseason in the past 23 years. Maybe 2025 was the year of the kick change, but October 2025 is very definitely shaping up to be the month of the splitter. The playoffs aren’t even over, and we’ve already seen more splitters this October than in the postseasons of 2023 and 2024 combined. Read the rest of this entry »

The Toronto Blue Jays are headed to their first World Series since 1993 after defeating the Seattle Mariners 4-3 in a tense seventh game, thanks largely to yet another seismic postseason moment forged by the bat of George Springer. Three nights after he was laying in a heap at home plate, having been kneecapped by an errant mid-90s fastball, Springer added to his already legendary postseason résumé with a three-run home run against, ironically, another fastball tailing in the direction of his knees. The blast was a microcosm not only of Springer’s season (by wRC+ he posted the lone below-average offensive season of his career in 2024, and then set a career-best in 2025) but also of Toronto’s as a group, as the Jays led the majors in comeback wins during the year.

Julio Rodríguez cut the ribbon on Game 7 with a leadoff double, and came around to score a few batters later when Josh Naylor ripped a single just beyond the outstretched glove of a diving Vladimir Guerrero Jr. Thereafter, Seattle’s first-inning rally was stemmed by one of the weirder double plays you’ll ever see, as Naylor did a 180 leap into Ernie Clement’s throw to first base and, after discussion, the umpires decided to rule both runners out, Naylor on the force and batter Jorge Polanco via Naylor’s interference.

Toronto responded with a run of its own in the bottom of the first. A Springer leadoff walk and a Guerrero single (it was fortunate for the Mariners that Guerrero’s 110-mph hit was only a base hit) set the table for an eventual Daulton Varsho RBI knock, but after that, Seattle controlled most of the game. Read the rest of this entry »

In his first postseason since signing a 14-year, $500 million extension, Vladimir Guerrero Jr. has powered the Blue Jays to within one win of their first trip to the World Series since 1993. The 26-year-old slugger continued his October heroics during Sunday night’s ALCS Game 6 in Toronto, helping the Blue Jays stave of elimination at the hands of the Mariners by clubbing his third home run of the series and sixth of the postseason while also displaying a key bit of baserunning savvy. Guerrero has rebounded from a season-ending slump to put up some absolutely astronomical numbers this fall.

Sunday night’s game didn’t start out that way for Guerrero. As they had done in Games 1 and 2 in Toronto, and Game 5 in Seattle, the Mariners kept him from doing major damage through his first two plate appearances against starter Logan Gilbert. In the first inning, with Nathan Lukes on first, Guerrero chased a low slider and grounded softly into a forceout. In the second, with the Blue Jays having rallied for two runs and with George Springer on first, he hit a scorching 116-mph grounder to the left side, where third baseman Eugenio Suárez made a diving stop, then threw to second from his knees to end the inning.

That 116-mph exit velocity was Guerrero’s hardest-hit ball of the postseason, and the eighth-hardest contact of any player this fall; the other seven, by the likes of Shohei Ohtani, Seiya Suzuki, Kyle Schwarber, Giancarlo Stanton, and Aaron Judge, all went for hits. No such luck for Vladito. Read the rest of this entry »

Forgive me for getting excited about this one, because even in sports, it’s not every day that the most interesting outcome happens. But the Giants are, according to The Athletic, “closing in on” hiring a new manager: Tony Vitello.

Two offseasons ago, I wrote about the five categories of major league manager: The hot assistant to a successful skipper; the grizzled baseball lifer; the front office liaison; the recent ex-player who’d been talked up as a future coach since his late 20s; and Aaron Boone.

Vitello is none of those things. When I run the player linker for this post, Vitello’s name is not going to come up in bold. Not only has he never played in the majors, he’s never drawn a paycheck from a professional baseball team in any capacity — not as a player, or a coach, or a scout, or a special assistant. Read the rest of this entry »

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

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

Applied Baseball Scientist

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

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

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

RESPONSIBILITIES:

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

QUALIFICATIONS

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

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

To Apply
To apply, please follow this link.

Computer Vision Analyst

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

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

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

RESPONSIBILITIES:

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

QUALIFICATIONS

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

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

To Apply
To apply, please follow this link.

Performance Analyst

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

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

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

RESPONSIBILITIES:

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

QUALIFICATIONS

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

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

To Apply
To apply, please follow this link.

Principal Developer

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

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

RESPONSIBILITIES:

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

COMPETENCIES

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

ADDITIONAL QUALIFICATIONS

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

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

To Apply
To apply, please follow this link.

Principal Developer

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

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

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

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

RESPONSIBILITIES:

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

COMPETENCIES

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

ADDITIONAL QUALIFICATIONS

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

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

To Apply
To apply, please follow this link.

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

Facing elimination in Game 6 of the ALCS, the Blue Jays were right where they wanted to be. Back in Rogers Centre, where they had the best home record in the majors during the regular season, the Jays defeated the Mariners 6-2 on Sunday night to force a decisive Game 7. On the other side, looking at an opportunity to advance to the World Series for the first time in franchise history, Seattle was wholly unprepared to meet the moment. The Mariners committed three errors, grounded into three inning-ending double plays, and just couldn’t keep up with Toronto’s relentless offense.

Trey Yesavage, making just his sixth start in the big leagues and second in this series, held the Mariners to two runs in 5 2/3 innings. His splitter was particularly nasty; he threw 31 on Sunday, the most he’s thrown in a big league start so far. He earned 10 whiffs on 17 swings (a 59% whiff rate) with that tumbling offspeed pitch and induced two critical double plays with it in back-to-back innings.

In the third inning, after the Jays had scored two, the Mariners quickly built an opportunity to strike back. J.P. Crawford walked to start the inning, and after Dominic Canzone struck out, Leo Rivas lofted a 360-foot single off the top of the right-center wall. Crawford misread the fly ball and remained too close to first base, so by the time center fielder Daulton Varsho played the carom and fired back into the infield, Crawford had only advanced to second base, meaning Rivas had to hold up at first. Instead of having two runners in scoring position with one out and the top of the order coming up, the bad baserunning had put the Mariners in a textbook double play situation. Nevertheless, after Julio Rodríguez walked to load the bases, it looked like Cal Raleigh, whose 57.7% fly ball rate was the highest in the majors this season, would at least be able to lift a sacrifice fly to get the Mariners on the board. But Yesavage buckled down, turned to his trusty splitter, and got Raleigh to ground into an inning-ending double play on the first pitch of the at-bat. Read the rest of this entry »

Data Scientist – Baseball Analytics / Baseball Sciences

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

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

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

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

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

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

THE DAY-TO-DAY:

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

WHAT YOU’LL BRING:

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

WHAT SETS YOU APART:

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

TOTAL REWARDS:

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

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

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

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

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

To Apply
To apply, please follow this link.

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

Mike Burrows was rated as having the best curveball in the Pittsburgh Pirates system when I talked to him to for our old Learning and Developing a Pitch series back in 2022. Then a highly-regarded prospect, the 25-year-old right-hander relied heavily on his hook, a pitch that Eric Longenhagen assigned a 70 on the scouting scale and described as having “devastating bite and depth.” Our lead prospect analyst referred to it as his “meal ticket.”

Burrows is now a bona fide big-leaguer, but not because of a bender. Pitching in his first full MLB season — he made one appearance in 2024 — Burrows threw his erstwhile go-to just 11.9% of the time while logging a 3.94 ERA and a 24.1% strikeout rate over 96 innings. He’s evolved into split-change artist. Burrows threw what has become his most-used secondary pitch at a 23.7% clip this year. Moreover, he did so to the tune of a .147 BAA, a .220 slug, and a 43.1% whiff rate.

Why and how did he go from a killer curveball to a bat-missing splitter variant?
Read the rest of this entry »

Shohei Ohtani had quite a night, didn’t he?

Let’s be more direct: Ohtani just had the greatest individual game in postseason history. On the mound, he threw six scoreless innings, allowing two hits and three walks while striking out 10. He got pulled after giving up two straight baserunners to start the seventh, which kind of mucked up his line, which is ironic, because that’s what the Dodgers offense has been doing to other starting pitchers over the past two weeks. Read the rest of this entry »

The Dodgers beat the Brewers by a final score of 5-1 on Friday night, securing a sweep of the NLCS and advancing to the World Series for the second consecutive year. If you just look at the scoreline and the sweep, you might think that this game was devoid of interest. I won’t lie to you – it was definitely not as dramatic as the wild Mariners-Blue Jays game from earlier in the night, and that series has had far more twists and turns than this one. But forget the lopsided final score, and forget the lopsided series. Friday night was a show – or, I should say, a Sho.

Shohei Ohtani made his second start on the mound of the playoffs, and after a leadoff walk to Brice Turang, he looked every bit the impossible, ace-plus-slugger hybrid we’ve come to expect. His stuff was sharp tonight, with his fastball scraping triple digits and his vicious sweeper up several ticks but maintaining its ludicrous movement. That leadoff walk didn’t even phase him; he took a deep breath, a few paces on the mound, and then turned Jackson Chourio into a cardboard cutout. Biting sweeper, two increasingly diving sliders, with Chourio taking an emergency hack to stay alive, and then a 100.3 mph fastball, pumped right through the zone, to remind everyone that, yeah, this Ohtani guy can spin it.

The next batter, Christian Yelich, got ahead in the count 2-0; Ohtani regrouped with an outrageous flotilla of sliders (90 mph), cutters (95), and fastballs (100) on the low-and-away corner that eventually flummoxed Yelich into a called strikeout. William Contreras? Thanks for entering the batter’s box, sir, better luck next time. Ohtani struck him out on three pitches, the last two of which were demonically breaking sweepers that weren’t even in the same zip code as Contreras’ bat. Then Ohtani sprinted off the mound and disappeared into the dugout. Read the rest of this entry »