Senior Quantitative Analyst

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

Job Responsibilities 

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

Required Qualifications

Education & Experience

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

Technical Skills

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

Professional Attributes

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

Preferred Qualifications

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

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

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

Working Conditions

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

Compensation:

• $90,000 – $100,000

Benefits include:

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

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

Please include a resume and cover letter.

To Apply
To apply, please follow this link.

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

When Bo Bichette sprained the posterior collateral ligament of his left knee on September 6 in a home plate collision with Yankees catcher Austin Wells, both the ramifications of his injury and the upcoming World Series were mere abstractions. Bichette remained in that game, postgame X-rays ruled out a fracture, and at the time a cut on his left shin appeared to be the worst of the damage he sustained. While the Blue Jays were not only atop the AL East at the time but also positioned as the league’s top seed, the team — as you’ve heard a million times by now — hadn’t played in a World Series since 1993, and hadn’t won a postseason game since 2016.

Seven weeks later, Toronto is matched up against the defending champion Dodgers, and after missing the final three weeks of the regular season and the Blue Jays’ first two playoff series, the 27-year-old Bichette has been shoehorned into the lineup, albeit under significant limitations. An experiment with him playing second base for the first time in six years has largely worked, and on Tuesday night, Bichette — slotted as the designated hitter with George Springer sidelined by “right side discomfort” following a violent swing in Game 3 — contributed a key hit in a 6-2 victory that helped the Jays rebound from their 18-inning loss the night before and even the World Series at two games apiece.

Bichette’s hit came during Toronto’s four-run seventh inning. Leading 2-1 thanks to Vladimir Guerrero Jr.’s third-inning homer off Shohei Ohtani, the Jays opened the seventh with a single by Daulton Varsho and a double by Ernie Clement, spelling the end of the two-way superstar’s night on the mound. Lefty Anthony Banda took over for Ohtani, allowed an RBI single to Andrés Giménez, collected a pair of outs that nonetheless brought home Clement with the Blue Jays’ fourth run, and intentionally walked Guerrero. To the chagrin of every Dodgers fan, manager Dave Roberts then called upon right-hander Blake Treinen, who entered having allowed 14 earned runs in 11 2/3 innings over the past seven weeks. Read the rest of this entry »

After a marathon Game 3 on Monday night (and into Tuesday morning), both the Blue Jays and the Dodgers were hoping for length from their starters in Game 4. The Dodgers looked more likely to get it. Toronto starter Shane Bieber lasted just 3 2/3 innings in Game 4 of the ALCS, his most recent start. In fact, he went more than five innings just once over his past four starts, running a 4.96 ERA over that stretch. Los Angeles starter Shohei Ohtani, well, he’s Shohei Ohtani. He had gone exactly six innings in each of his last three starts. He had allowed just three total runs over his past five appearances for an ERA of 1.01. Had Ohtani gone just six innings and no more on Tuesday night, Game 4 might have gone very differently. Instead, the Blue Jays offense exploded for four insurance runs in the seventh inning, and with a convincing 6-2 win, they pulled the World Series into a 2-2 tie.

After the prolonged weirdness of Game 3, Game 4 looked much more familiar. The starters struggled a bit early, then settled down. One team asked a little too much of its starter, then paid the price for bringing in the wrong reliever. You know, like a baseball game. The momentum certainly looked to belong to the Dodgers. They were at home, they’d won two in a row, and they had Ohtani lined up to pitch coming off some of the best performances of his unbelievable career. After a swing during Game 3 resulted in an injury that walks like an oblique strain and talks like an oblique strain and is currently being referred to as right side discomfort, the Blue Jays were without George Springer, both their leadoff man and their best hitter during the regular season. They had taxed their bullpen more thoroughly on Monday, and they had endured the psychic toll of losing that 18-inning marathon. Luckily for the Blue Jays, momentum is mostly a construct.

The Dodgers kicked off the scoring in the bottom of the second. After a one-out walk by Max Muncy, Tommy Edman ripped a single up the middle. Knowing that Daulton Varsho’s surgically repaired right arm is particularly weak, Muncy didn’t hesitate, charging around second (and nearly slipping and falling when he tried to stick the landing on a pop-up slide into third). It’s always a little bit fun to be a baserunner on the base that you’re entrusted to defend. You’re in your normal spot, but the perspective is totally different. It’s kind of like when you were a kid and your parents let you bring your sleeping bag into the living room so that you could go camping in your own house.

Sorry, where were we? The Dodgers had runners on the corners with one out, and Enrique Hernández did what Enrique Hernández does in October. He lifted a sacrifice fly into right field to give the Dodgers a 1-0 lead. The first time through the lineup, Bieber had allowed one run, one hit, and two walks. He had struck out no one. Three of the Dodgers’ seven batted balls were hard-hit.

But Ohtani was about to run into his own trouble. He only had one strikeout the first time through the lineup, and his velocity was down compared to his regular season average (though manager Dave Roberts would say during an in-game interview that Ohtani was intentionally throttling back). He hadn’t allowed much hard contact, but that changed quickly. In the top of the third, Nathan Lukes tomahawked a high fastball into right field for a one-out single. Ohtani then hung a sweeper high and right over the middle to Vladimir Guerrero Jr., who is not, strictly speaking, the kind of person to whom you want to hang a sweeper high and right over the middle. Guerrero unloaded on the cement mixer. The vicious swing sent his helmet rattling around atop his head and the baseball beyond the left field wall to give the Blue Jays a 2-1 lead:

Both pitchers started to figure it out. Ohtani allowed just one baserunner from the fourth inning to the sixth, at one point striking out four straight Blue Jays swinging. Bieber allowed just two baserunners from the third to the fourth, but he ran into trouble in the sixth. Freddie Freeman led off with a laser down the first base line that Guerrero couldn’t quite corral on the short hop. Will Smith followed up with a sharp lineout to center. After a couple hard-hit balls, manager John Schneider came out to the mound, but Bieber convinced him that at just 80 pitches, he was good to stay in the game. Teoscar Hernández immediately made him look like a liar, sending the 81st pitch into center for a line drive single. The Dodgers had runners on first and second with one out, and Schneider came back for the ball.

Left-handed rookie Mason Fluharty appeared for the third time in the series, and he slammed the door on the potential rally, inducing a fly out from Muncy and striking out Edman swinging. That closed the book on Bieber, who finished the night with one earned run over 5 1/3 innings. Despite walking three, allowing eight hard-hit balls, and striking out just three, he allowed just four hits and would end up with the win.

Ohtani’s night ended soon after Bieber’s. Varsho led off the seventh with a single to right field, and then Ernie Clement ripped a double off the wall in left center. Varsho hesitated for a moment as he rounded second base to make sure that the ball wouldn’t be caught, and ended up at third. Roberts called on Anthony Banda to get the Dodgers out of the jam. Although he’d retired 11 of the past 12 batters before the seventh inning, Ohtani’s night was over (at least, as a pitcher).

With runners on second and third and no outs, the Dodgers brought their infield in. The Blue Jays just needed to get the ball into the outfield to score a run. Andrés Giménez did just that, reaching out on a slider and dumping a single into left. The Blue Jays led 3-1 and still had runners on the corners. After Isiah Kiner-Falefa lined out (temporarily into a double play, until the call was overturned on replay), Schneider sent Ty France up to pinch-hit for the left-handed Lukes. France knocked in a run with a weak inside-out grounder to second base. That closed the book on Ohtani, who was credited with four earned runs over six innings. He struck out six, while allowing six hits and one walk. The Blue Jays had tacked on two big insurance runs to bring their lead to 4-1.

With a pair of right-handed hitters in Guerrero and Bo Bichette due up and the game threatening to get away from the Dodgers, Roberts intentionally walked Guerrero and pulled Banda. To the dismay of Dodger fans everywhere, he called upon Blake Treinen, who came into the game with a 9.00 ERA this postseason. Bichette greeted him with a rocket off the left field wall to score Giménez, and Addison Barger followed up with a single into left to score Guerrero. The haters said he couldn’t do it, and they were right. The Blue Jays led 6-1:

From there, Chris Bassitt held the Dodgers scoreless in the seventh and eighth. Louis Varland made things interesting, allowing Edman to cut the lead to 6-2 on an RBI groundout before retiring the final two Dodgers. Four Blue Jays – Guerrero, Lukes, Barger, and Clement – finished the night with two hits, while the Dodgers combined for just six hits total. They’ll still have home advantage in Game 5. With two-time Cy Young Blake Snell lined up to face rookie Trey Yesavage, they’ll have the starting pitching advantage as well. But after four games, this World Series is looking mighty even, and it’s now assured to end back in Toronto.

I honestly have no idea how many tag plays take place over the course of the average baseball game, but whatever that number may be, it felt like Game 3 of the World Series quadrupled it at the very least. We saw seven players thrown out on the bases. We saw challenges on plays at all four bases. We saw baserunning blunders, huge throws, and perfect relays. We saw aggressive sends that turned out well, and aggressive sends that led to players being thrown out at the plate by laughable margins. We saw pop-up slides that flew too close to the sun. We got a tutorial on the home plate blocking rule. We saw maybe the first ever umpire-induced pickoff. We saw the next day’s starting pitcher pull up with a leg cramp while running the bases in the bottom of the 11th inning. We saw multiple players get tagged out by a glove that caught them squarely in the Jonas Brothers. We saw the game’s 469th-fastest runner come in as a pinch-runner for the 606th-fastest runner. I could keep going.

At this point, I should mention that the litany you just read may or may not be my fault. Somewhere around the seventh inning, Meg Rowley asked me whether I might like to write about anything I’d seen during the game. I said there had been a couple interesting tag plays, so maybe it would be fun to write about them. Go back and reread the first sentence of this article. That’s when I wrote it, in the seventh inning, before like a dozen other absurd baserunning plays happened. This is how the baseball gods punish hubris, and there’s no way to delve into all these plays in one article. Even if there were, I wouldn’t be in any shape to write it, because I watched the entire 18-inning game and got like four hours of sleep last night (read: this morning). Instead, we’ll be taking a jogging tour of the tag play highlights, pointing out a few fun facts and then skating on to the next destination. Read the rest of this entry »

John Schneider loves intentional walks. He intentionally walks Aaron Judge more than anyone else. He intentionally walked Cal Raleigh with the bases empty in the ALCS. So he must have felt very strange when the first two games of the World Series passed without a single intentional walk of Shohei Ohtani, a man who has been intentionally walked repeatedly this postseason even though he was mired in a deep slump early on. Now that he’s hotter than the sun, Schneider was no doubt ready to go to his preferred tactic as soon as the situation presented itself.

And oh, did it present itself! Yesterday, the Dodgers and Blue Jays played 18 innings to settle Game 3. Ohtani opened the game with a double, a home run, another double, and another home run, the last hit a game-tying solo shot in the seventh. That second homer set up a perfect storm. Extra innings with the Dodgers batting in the home half meant that Ohtani represented the tying run every time he came to the plate the rest of the way, and you don’t have to roll out the red carpet for Schneider; he’s always ready to deploy some tactics. Ohtani had five more plate appearances in the game; Schneider intentionally walked him in four of them. I did the math to see whether those were good decisions, and how much they affected the outcome of the game. Read the rest of this entry »

I’m going to preface this post with two important caveats. First: Complaining about the fairness of the officiating, in any sport, in any circumstance, is loser behavior. For better or worse, the calls usually even out. And even in the vanishingly rare circumstances where a single call genuinely costs a team a victory, harping on about it isn’t going to change anything.

Second: I’m more lukewarm about the oncoming challenge system, and ABS in general, than a lot of people are. I think the umpires usually do a good job calling balls and strikes, and calling the rulebook zone isn’t going to do much to placate fans who pore over umpire scorecards. They don’t want the rulebook zone; they want their team to get all the calls. Overall, I think it’ll be a positive for the game, I’m just less geeked about it than I was about the pitch clock, for instance.

With all that said, there’s one specific thing I’m looking forward to with the challenge system. It’s going to eliminate my least favorite play in baseball, one we saw with disastrous effect during Game 3 of the World Series, and with any luck for the last time on a major league diamond. Read the rest of this entry »

An all-time World Series classic was played on October 27, 1991. That was the Game 7 where Jack Morris and John Smoltz matched zeros until the Minnesota Twins ultimately edged the Atlanta Braves 1-0 in 10 innings. Thirteen years later, on that same date in 2004, the Boston Red Sox won their first World Series championship since 1918. In both cases, baseball history was made in memorable fashion.

What took place on October 27, 2025 at Dodger Stadium ranks right up there with the best World Series games ever played. In an affair that lasted deep into the night and featured heroics from multiple players, it was Freddie Freeman who finally ended it. Leading off the bottom of the 18th inning, the Dodgers first baseman launched a home run to straightaway center field to walk off the Blue Jays, 6-5, in Game 3 and give Los Angeles a two-games-to-one lead in the World Series.

The game started uneventfully, with Dodgers starter Tyler Glasnow retiring the side in order in the first. But from that point forward the word “uneventful” was nowhere to be found — not for the remainder of a Monday night that turned into the wee hours of Tuesday for most of Canada and the continental United States, for all but the time zone in which Game 3 was played. Read the rest of this entry »

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

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

Analytics Intern, Baseball R&D (2026 Season)

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

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

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

Essential Duties and Responsibilities:

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

Requirements:

Education and Experience Requirements

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

Knowledge, Skills, and Abilities necessary to perform essential functions

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

Physical/Environmental Requirements

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

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

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

To Apply
To apply, please follow this link.

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

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

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

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

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

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

Requirements:

Education and Experience Requirements

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

Knowledge, Skills, and Abilities necessary to perform essential functions

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

Physical/Environmental Requirements

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

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

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

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

To Apply
To apply, please follow this link.

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

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

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

Cloud Engineer

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

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

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

Other essential job functions include:

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

Experience Required:

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

To Apply
To apply, please follow this link.

Major League Strategy Fellow

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

Job Duties:

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

Experience Required:

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

To Apply
To apply, please follow this link.

Minor League Affiliate Fellow (Seasonal)

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

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

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

Job duties:

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

Experience/Education Required:

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

To Apply
To apply, please follow this link.

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

When it comes to this World Series, determining which team is the favorite and which is the underdog is a fairly easy exercise. The Blue Jays won one more game during the regular season than the Dodgers did, but Dodger Blue has tended to be strongly favored over Labatt Blue. The Vegas odds for the Dodgers opened at -215, implying a better than two-in-three chance of a Los Angeles championship; per the research of CakesRacer522 on Reddit, only the 2019 Astros started off with better odds. For our part, the FanGraphs World Series odds were nearly as lopsided going into the series, projecting a 66.3% chance of the Dodgers prevailing. The ZiPS projections weren’t quite as bullish, but the computer’s 60/40 split isn’t quiet a coin flip. The Dodgers also spend money like they have their own currency, and won the World Series in both 2020 and 2024, while the Jays, though themselves a top five payroll team, haven’t sniffed the Fall Classic in more than 30 years.

So are the Blue Jays doomed? That’s a preposterous question in a game as coin-flippy as baseball tends to be; after all, if the Dodgers were fated to win, the projections would sit at 100%, not 68% or 66% or 60%. That said, if the Blue Jays do come out ahead, it’ll be an especially big plaudit, because they’re not just facing the 2025 Dodgers, they’re facing the best version of the 2025 Dodgers.

As is their wont, the Dodgers suffered more than their share of injuries in 2025. As of mid-September, I had them losing the third-most potential wins due to injury in the majors. In 2024, they were the “champions” of this sad category. Last winter, the Dodgers spent nearly $400 million on free agents, most notably Blake Snell, Teoscar Hernández, and Tanner Scott, after having signed Shohei Ohtani the prior offseason. It fueled some pretty crazy projections before the 2025 season, such that the 98 wins forecast by ZiPS actually got a lot of pushback for being too negative about the team’s hopes. But as I said before Opening Day, the Dodgers are so good that they’re at the point where signing great players comes with increasingly diminishing returns, because those guys are covering for a good number of plate appearances and innings that were already much better than replacement level. Indeed, the team’s biggest improvement — at least as ZiPS saw it — was in making their floor absurdly high rather than their ceiling. Read the rest of this entry »