Archive for Mets

Software Engineer, Baseball Systems

Job Description:
The New York Mets are seeking a full stack software engineer with an emphasis on frontend development to join the Baseball Systems team. The ideal candidate would be an engineer with experience working in a fast-paced development environment, with strong engineering fundamentals and an eye for design. The role is in-person, based out of the Mets offices in Queens, NY. Prior experience in or knowledge of baseball is a plus but is not required.

Essential Duties & Responsibilities:

• Collaborate with other members of the Baseball Systems team and the Data Engineering team to build full stack software serving the needs of various stakeholders across Baseball Operations
• Handle ad-hoc requests from stakeholders in a timely manner to ensure smooth operations across the organization
• Push the quality of the Baseball Systems’ frontend codebase through establishment and reinforcement of good software engineering patterns and practices
• Drive engineering excellence across the entire stack through areas like test coverage, improved types, better code re-use, etc.
• Establish good working relationships with stakeholders through thorough requirement gathering, validation, and pro-active communication

Qualifications, required:

• A degree, or significant experience in, Computer Science or a related field
• 3+ years of relevant work experience
• Experience with component-based JavaScript frameworks, preferably React
• Experience both consuming and creating APIs to integrate with data sources
• Ability to rapidly ramp up domain knowledge
• Attention to detail and an eye for good design

Qualifications, nice to haves:

• Experience working with designers and/or design software (Figma, Adobe XD, etc.)
• Experience with telemetry and monitoring suites
• Experience working with cloud platforms
• Knowledge of CI/CD pipeline best practices and patterns
• A general knowledge of SQL and relational databases
• Experience in iOS development (Swift, React Native, etc.)

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

Salary: $120,000 – $160,000

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

To Apply
To apply, please follow this link.

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

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

Associate Analyst, Player Information
Associate Analyst, Player Optimization
Intern, Data Science

Associate Analyst, Player Information

Location: Citi Field – Queens, New York

Job Description:
GENERAL RESPONSIBILITIES

• Perform thorough research analysis on Mets players to help staff build and maintain individual Player Plans
• Transform internal data and model results into actionable information that enhances both in-game and player performance strategy
• Monitor and report on in-season performance trends, delivering key insights to coaches and leadership
• Develop systems that allow staff to efficiently come to conclusions consistent with organizational philosophy
• Drive growth of Mets coaches through continued education
• Provide feedback to the rest of Baseball Analytics and Baseball Systems on reports, models, and tools that impact player analysis
• As time permits, analysts will be assigned additional coding and/or statistical modeling projects related to the position
• Ad hoc requests from Baseball Analytics in line with these job responsibilities
• Work with other analysts to help improve each other’s coding abilities and quantitative abilities

POSITION REQUIREMENTS

• Bachelor’s degree in a quantitative field or equivalent experience
• Significant experience in R, Python, or similar, as well as proficiency in SQL
• Fluency in Spanish is a plus
• Domestic travel required throughout the length of the position
• Must be able to work unconventional hours

APPLICATION QUESTIONS
To apply for this position, please respond to the questions below and upload your answers as a PDF file alongside the resume. Please limit responses to 200 words.

• Who is an upcoming MLB free agent that you feel is undervalued and why?
• When evaluating outfield defense, which metric(s) would you use and why?

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

Hourly Rate: $20 – $25

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.

Associate Analyst, Player Optimization

Location: Citi Field – Queens, New York

Job Description:
Summary:
The Player Optimization Associate Analyst will be responsible for building tools to identify and aid implementation of optimization and improvement strategies for both internal and external players.

Essential Duties & Responsibilities:

• Analyze new data sources and their potential to explain baseball performance
• Collaborate with Biomechanics and Performance teams to analyze players’ physical capabilities
• Present research and tools to coaches to aid implementation of optimization strategies
• Systematically identify internal and external players with room for optimization
• Work with Data Science team to understand how players’ capacity to improve impacts their value
• Perform research that explains how players are able to express skills on the field
• Expand the organization’s understanding of how players can improve relative to expectations

Requirements:

• Creativity and curiosity regarding the game of baseball  
• Ability to collaborate and work within and across teams
• Strong verbal and written communication skills
• Demonstrated ability to manage multiple projects simultaneously and execute tasks under time constraints
• Knowledge of baseball technology, including but not limited to KinaTrax, Blast Motion, Hawk-Eye, and force plates
• Interest in public baseball research
• Experience in R, Python, or similar programming languages, and proficiency in SQL
• Statistical modeling experience. Experience in Biomechanics is a plus
• Must be able to work unconventional hours

APPLICATION QUESTIONS
To apply for this position, please respond to the questions below and upload your answers as a PDF file alongside the resume. Please limit responses to 200 words.

• When trying to understand how fast a player should be able to swing a bat, what information would you seek and why?
• When evaluating outfield defense, which metric(s) would you use and why?
• When looking at how much a pitcher can improve, what information would you consider?

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

Hourly Rate: $20 – $25

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.

Intern, Data Science

Location: Citi Field – Queens, New York

Job Description:
Summary:
The New York Mets are seeking an intern in our Baseball Analytics Department for the summer of 2026. During the summer, the Intern will build, test, and present statistical models to inform the decision-making of our Baseball Operations department. This position requires strong background in complex statistics and data analytics, as well as the ability to communicate statistical model details and findings to both a technical and non-technical audience. Prior experience in or knowledge of baseball is a plus, but is not required.

Essential Duties & Responsibilities:

• Build statistical models to answer a wide variety of baseball-related questions affecting the operations of the organization using advanced knowledge of statistics and data analytics and exercising appropriate discretion and judgment regarding development of statistical models
• Interpret data and report conclusions drawn from their analyses
• Present model outputs in an effective way, both for technical and non-technical audiences
• Communicate well with both the Baseball Analytics team as well as other Baseball Operations personnel to understand the parameters of any particular research project

Qualifications:

• Pursuing a degree in statistics or a related field
• Professional experience in a quantitative position is a plus
• Strong background in a wide variety of statistical techniques
• Strong proficiency in R or Python
• Strong communication skills
• Ability to work cooperatively with others

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

Hourly Rate: $20 – $25

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.

This week, the baseball world turns its attention to the first round of the playoffs. It’s what we’ve spent the past six months waiting for. Nevertheless, the past 48 hours or so have brought a flurry of news events involving people and teams that (cue sad trombone sound effect) will not be taking part. Since the season ended on Sunday, seven teams made announcements about managers who were on the hot seat and/or wobbly chair:

Read the rest of this entry »

Welcome to the final Five Things I Liked (Or Didn’t Like) This Week of the year. As we prepare to leave the normal cadence of regular season baseball behind, we’re all already mentally preparing for the madcap pace of the playoffs, when the games are fewer but more momentous. This last week is more of a transitional phase; some of the series are monumentally important, while others feature the Royals and Angels (just to pick a random set) playing out the string. Maybe this is the best time for baseball, actually. If you’re looking for it, there’s more drama in the back half of September than in any other regular season month. But if you just want silly baserunning in inconsequential games, or role players making the most of big opportunities, there’s plenty of that too. I love October baseball, but I’ll be sad when September ends.

Of course, no Five Things intro would be complete without me thanking Zach Lowe of The Ringer for the format I’ve shamelessly copied. So Zach, I hope your Mets fandom isn’t too painful this week. To the things!

1. Playoff Races
Obviously. If this isn’t the thing you like most in baseball this week, you’re probably a Mets or Tigers fan, and even then, you’re probably lying to yourself a little. The thrill of a pennant race coming down to the wire is one of the great joys of this sport. Most of the time, I like baseball because no single outcome matters all that much. Lose a game? Play the next day. Strike out in a big spot? Everyone does that sometimes. Give up a walk-off hit? I mean, there are 162 games, you’re going to give up some walk-offs. But every so often, as a treat, it’s fun when the games suddenly transmute from seemingly endless to “must have this next one.”

Has the new playoff format played a role here? It’s hard to argue it hasn’t. This is the fourth year of the 12-team field, and it’s the fourth straight year with an unsettled playoff race in the last week of the season. It’s the third straight year with multiple good races, in fact. That’s not exactly unimpeachable evidence – the final year of the old format saw its own thrilling conclusion to the regular season – but the point is that when the last week of the regular season is filled with drama, it makes for a great playoff appetizer. I’m still unsure what the new format does to the competitive structure of the game, and I haven’t liked the way trade deadlines work when the line between contender and pretender is so hazy. But in late September, it sure seems to be giving me more of what I want. Read the rest of this entry »

I can’t tell you why the structure of the big leagues seems to bend towards close races. On August 31, the teams on the right side of the playoff cut line were all at least 2 1/2 games ahead of their nearest competitors. All baseball has done since then is collapse into chaos. The Mets have gone 8-13 to fall into peril, though that’s nothing compared to the Tigers, who have gone 5-15 over the same stretch. The Guardians are an absurd 18-5. Playoff fortunes have ebbed and flowed mightily.

Which players have featured most prominently in those games? There are any number of ways of answering that question. You could look for the highest WAR among contenders, the worst ERA or the most blown saves. You could use fancier statistics like Championship Win Probability Added, which accounts for how much each game mattered to each team. You could use the eye test, honestly – I can tell you from how frustrated Framber Valdez has looked this month that he’s not helping the Astros.

But the closest thing to matching the way I experience baseball, as a fan, is regular ol’ win probability added. My brain doesn’t distinguish between the importance of games when a team is in the pennant race. They’re all important. You can’t lose a random game on September 7 when you’re three back in the standings; you never know when the team you’re chasing will lose five in a row. Championship Win Probability Added distinguishes between whether your team is a long shot or playing from ahead, but when I’m rooting for one of the teams jockeying for a playoff spot, I don’t do that. I don’t think I’m alone in this, either. If every game in the race is equally important to you, Win Probability Added will measure the players who have mattered most in that framework. So I’ve compiled a list of notable players from the past month in each playoff race – and as a little bonus, I threw in a few players who have either stymied contenders or gotten trounced by them. Read the rest of this entry »

With just 12 days left to go in the regular season, two teams — the Brewers and Phillies — have clinched playoff berths, and on Monday the latter became the first to win its division. From among the four other division races, only in the AL West and NL West are the second-place teams closer than five games out, putting the chances of a lead change in the range of low-fat milk. With the exception of those two races, the lion’s share of the remaining drama centers around the Wild Card races.

Once upon a time, this space would be filled with my reintroduction of the concept of Team Entropy, but through the 2022 Collective Bargaining Agreement, Major League Baseball and the players’ union traded the potential excitement and scheduling mayhem created by on-field tiebreakers and sudden-death Wild Card games in exchange for a larger inventory of playoff games. The 12-team, two-bye format was designed to reward the top two teams in each league by allowing them to bypass the possibility of being eliminated in best-of-three series. Often, however, things haven’t worked out that way, because outcomes in a best-of-five series are only slightly more predictable than those of a best-of-three.

Aside from the Dodgers beating the Padres in last year’s Division Series, every National League team that has earned a first-round bye under the newish system had been bounced at the first opportunity, with the Dodgers themselves falling in rather shocking fashion in both 2022 and ’23. The AL has had only one such upset in that span: the 2023 Rangers, who beat the Orioles and went on to win the World Series. Read the rest of this entry »

Once upon a time — as of June 12, to be exact — the Mets had the best record in the majors (45-24) and a 5 1/2-game lead over the Phillies in the NL East. That afternoon, however, their rotation took a major hit when Kodai Senga strained his right hamstring. He hasn’t fully recovered his form, and it’s been mostly downhill for the Mets since then, even with their attempts to fortify their bullpen at the trade deadline, the arrival of some impressive rookie starters, and an MVP-caliber stretch by Juan Soto. The team entered Sunday on an eight-game losing streak that pushed them to the brink of elimination from the NL East race, and in danger of falling out of the third NL Wild Card spot.

The combination of Pete Alonso’s walk-off three-run homer off the Rangers’ Luis Curvelo, and losses by both the division-leading Phillies and the Giants (who now trail the Mets by 1 1/2 games in the Wild Card race) helped the Mets stave off those ignominious scenarios for the moment. Even so, the Phillies’ magic number to clinch is one, as they lead the NL East by 12 games with 12 to play. Not only are the Giants (75-74) on the Mets’ tail, but the Diamondbacks (75-75) are just two games behind, with the Reds (74-75) 2 1/2 behind. Read the rest of this entry »

PHILADELPHIA — Nostalgia for the 1990s is so back! The Mets are running back Generation K, and at an interesting time. As it stands, their playoff rotation could include three pitchers who were in the minors in mid-August: Nolan McLean, Brandon Sproat, and Jonah Tong. At least, all three should figure somewhere on the postseason roster, should the Mets stop playing with their food and sew up the playoff berth they’ve had a hand on all season.

I’m old enough to remember the 90s the first time around — an era of flared jeans and futurism, much of which was rebadged 1960s nostalgia. Not least in Mets pitching prospects, when Bill Pulsipher, Paul Wilson, and Jason Isringhausen were viewed as the second coming of Tom Seaver, Jerry Koosman, and Gary Gentry and/or Nolan Ryan.

There is nothing new under the sun. Read the rest of this entry »

When the Mets signed Juan Soto to a 15-year deal last December, they expected him to be the heaviest hitter on a contending team, a player who would factor into the Most Valuable Player voting. Odds are that they didn’t price his base-stealing ability into his record-setting, $765-million contract, yet with just under three weeks remaining in the regular season, the 26-year-old slugger has not only set a career high in steals, but he might very well become the first player this season to join the 30-homer, 30-steal club.

Despite a slow start that included just three home runs and two stolen bases through the end of April, Soto has clubbed 38 homers and is just three away from his career high, set last year with the Yankees. He’s already had additional seasons with 34 and 35 homers (2019 and ’23, respectively), so any total in that range is hardly out of the norm. What’s remarkable is that he now has 29 steals, a country mile beyond his previous career high (he stole 12 in both 2019 and ’23), and more than he swiped from 2022–24 combined (25 steals). At this writing, he’s third in the NL in homers but 11 behind leader Kyle Schwarber. By comparison, he’s fifth in the league in steals but just eight off the lead, held by Oneil Cruz.

Soto stole seven bases (in 11 attempts) last year, and averaged about nine steals for the 2021–24 span. He added five steals in May to those two in April, but he stole just two more in June. Once July hit, though, and especially after the All-Star break, he started running more frequently, with four of his six steals for the month coming in a nine-game span from July 19–28. He’s maintained a similar clip since then, with 11 steals in August — tied with Jazz Chisholm Jr. for the major league lead in that month — and three more in September. That’s a major league-leading 18 steals in 20 attempts over his past 45 games, a 65-steal pace! Chisholm is second over that same span with 17. Read the rest of this entry »

As both a player and a manager, Davey Johnson was a standout and a man ahead of the curve. In a 13-season playing career that spanned from 1965 to ’78, primarily as a second baseman with the Orioles and Braves, he made four All-Star teams, won three Gold Gloves, played in three World Series, and set a home run record. In a 17-season managerial career that stretched from 1984 to 2013, covered five different teams, and included a decade-long hiatus, Johnson won six division titles, one Wild Card berth, a championship, and two Manager of the Year awards. He’s indelibly linked to the Mets, first for making the final out in their 1969 upset of the Orioles and then for piloting their ’86 juggernaut to a World Series win at the peak of a six-season run.

Johnson had a knack for turning around losing teams, and for connecting with his players. Decades before the analytical revolution took hold in baseball, he was a pioneer in the use of personal computers by managers, at a time when the machines were still a novelty. Drawing upon his offseason studies at Trinity University — from which he earned a B.S. in mathematics — and Johns Hopkins, as well as his experience playing for Earl Weaver with the Orioles, he was renowned for using statistical databases to figure out probabilities and optimize his lineup and bullpen matchups.

Johnson, who last worked in baseball as a consultant for the Nationals in 2014, died on Friday in Sarasota, Florida following a long illness. He was 82 years old. Read the rest of this entry »