Please note, this posting contains three positions.

Position: Baseball Operations Research Intern

Description:
The Toronto Blue Jays are seeking a highly motivated and creative intern to conduct baseball research and contribute to ongoing departmental research. This position will be based in Toronto, ON or Dunedin, FL and will assist with day-to-day tasks within the Baseball Operations department, specifically focused toward the Research & Development Department. The start and end dates are flexible depending on candidate availability and both full-season and partial-season candidates will be considered.

Responsibilities and Duties:

• Assist the Research & Development Department with baseball research as well as developing new metrics and tools to help with Baseball Operation decision making.
• Collaborate with Research & Development Department to brainstorm, propose, and execute a research project based on candidate interests and departmental need. Execute the research needed to complete this project over the course of the internship.
• Assist the Baseball Operations department with other projects as directed.
• Stay current on publicly available baseball research.
• Assist with maintenance of scouting and statistical databases and monitoring the import of data feeds.
• Contribute to ad hoc analysis of Amateur, Major and Minor League Players.
• Assist with the testing of Baseball Operations software systems.
• Provide logistical support for meetings related to major events on Baseball Operations calendar (Draft, Trade Deadline, etc.).
• Assist with ad hoc administrative functions throughout Baseball Operations.

Experiences and Job Requirements:

• Demonstrated passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
• Proficiency with R, Python or other similar mathematical language is required.
• Proficiency with SQL and relational databases is required.
• Demonstrated ability to design and execute baseball research projects is a plus.
• Related work experience with a pro/college team is a strong plus, although not required.
• Experience with advanced modeling methods, including generalized linear models, mixed models, clustering, or other forms of machine learning is a plus. Experience evaluating and selecting models is also a plus.
• Experience with web development is a plus.
• Familiarity with current baseball research and analytics.
• Strong administrative skills to understand the various processes required by each department and ensure that they are followed.
• Demonstrated ability to work independently and self-direct work.
• Ability to relocate temporarily to Toronto, ON or Dunedin, FL.

To Apply:
Please email a copy of your resume to baseballresumes@bluejays.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.

• What makes you a standout candidate for this position?
• Describe a time when you used your analytic and research skills to solve a problem, ideally about baseball.
• In addition to FanGraphs, what baseball websites do you read and why?

Position: Baseball Operations Scouting Intern

Description:
The Toronto Blue Jays are seeking a highly motivated and detail oriented intern to support the scouting departments. This position will be based in Toronto for the 2019 season and will assist with day-to-day tasks within the Baseball Operations department, specifically focused toward the Amateur and Pro Scouting Departments. This position will run roughly from January – November 2019.

Responsibilities and Duties:

• Assist the Amateur Scouting Department with the preparation for the Rule 4 Draft, including assistance with player evaluation, information processing, and staying abreast of the current amateur landscape.
• Support the Pro Scouting Department with periodic coverage related and daily tasks, including maintaining lists of opposing team prospects, providing information on opposing team needs and having an understanding of ML player trends.
• Provide support for Baseball Operations meetings and player transaction decisions. This includes analysis and review of video, reviewing news and notes about players and ensuring that information is available as needed.
• Contribute to ad-hoc analysis of Amateur, Major and Minor League Players as needed.
• Support Minor League Operations/Player Development with their daily operations, such as processing expense reports, updating team rosters and compiling reports.
• Assist with QA testing of Baseball Operations software systems.
• Assist with ad hoc administrative functions throughout Baseball Operations.

Experiences and Job Requirements:

• Demonstrated passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
• Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, field staff and scouts. Ability to speak Spanish is a strong plus.
• Baseball/softball playing background or related work experience with a pro/college team is a strong plus, although not required.
• Strong administrative skills and attention to detail to understand the various processes required by each department and ensure that they are followed.
• Strong knowledge of Microsoft Office is required. Additional technical skills (SQL, R, Python, etc) are a plus but not required.
• Experience with baseball specific systems (BATS, eBIS, PIA, etc) a plus.
• Ability to relocate temporarily to Toronto, ON.

To Apply:
Please email a copy of your resume to baseballresumes@bluejays.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.

• Describe a time that you’ve been overwhelmed with work and needed to ask for help in either work/school.
• What do you hope to gain from an internship in Baseball Operations?
• In addition to FanGraphs, what baseball websites do you read and why?

Position: Baseball Operations Affiliate Intern

Description:
The Toronto Blue Jays are seeking highly motivated and creative interns to be primarily based at one of minor league affiliates for the 2019 season. These interns will collaborate with all departments within Baseball Operations, assisting with the implementation of various departmental goals and initiatives at each affiliate. All of the roles will run from March – September.

Please Note: If you’re interested in the Affiliate Intern position specifically, please only send one general application; there is no need to apply for each affiliate separately and sending in multiple affiliate-specific applications will not improve a candidate’s standing.

The tasks listed below are examples of potential responsibilities depending on the interests and background of the candidate; the intern will not be responsible for everything listed.

Responsibilities and Duties:
Player Development:

• Assist coaching staff with the data entry of game reports and player plan administration and updates.
• Collaborate with coaching staff and other members of the Player Development department to optimize the use of video, data and technology as it relates to improving player performance.
• Ensure video coverage of players on the affiliate team is up to date and work with coaching and scouting staff to perform video analysis as assigned.
• Assist affiliate High Performance members with the collection of data and conducting research on that data.
• Travel with the team on all road trips.
• Chart home games on Trackman.

Pro Scouting/Analytics:

• Travel to select games to help supplement pro scouting coverage. Write reports on players in your league as assigned.
• Work with the Analytics and Player Development staff to build pref lists of players in your league.
• Work with the Analytics department and Player Development staff to analyze Trackman data.
• Assist with MNFA and Rule 5 prep (identifying players to target, creating video playlists, writing reports) for players seen in league during the season.

Amateur Scouting:

• Connect with local Blue Jay amateur scouts in the area during the spring and/or fall, go to amateur games and write up amateur scouting reports as assigned.
• Go to summer showcase events to assist with charting and video/data collection as assigned.
• Assist with pre-draft prep work in Toronto as needed (Vancouver intern only).

Experiences and Job Requirements:

• Strong interpersonal skills to communicate effectively with a wide range of individuals including field staff, members of the front office, players and scouts. Ability to speak Spanish is a strong plus.
• Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
• Baseball/softball playing background or related work experience with a team is a plus, although not required.
• Strong administrative skills to understand the various processes required by each department and ensure that they are followed.
• Strong knowledge of Microsoft Office is required. Further technical skills (SQL, R, etc) are a plus but not required.
• Ability to relocate temporarily to Buffalo NY, Manchester NH, Dunedin FL, Lansing MI, Vancouver BC, or Bluefield, WV.

To Apply:
Please email a copy of your resume to baseballresumes@bluejays.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.

• What experience of yours do you feel has best prepared you for this opportunity?
• Describe a time you’ve had to explain a challenging concept to someone else.
• In addition to FanGraphs, what baseball websites do you read and why?

Position: Seattle Mariners Baseball Analytics Intern

Location: Safeco Field, Seattle WA

Description:
The Mariners are seeking an individual with a background in statistical analysis and a passion for baseball. The position will work directly alongside the analytics team on a wide range of projects, providing ample opportunity to directly impact front office decision-making. Start and end dates are flexible, and the team will consider applicants who are available for only the summer of 2019, but the preference is for candidates who can start by Feb 1, 2019.

Responsibilities:

• Statistical modeling and analysis of a variety of data sources including Statcast, Trackman and proprietary data sets
• Ad hoc queries and quantitative research
• Various game-day duties and support for all departments within Baseball Operations

Qualifications:

• A strong foundation in mathematics, statistics, computer science and/or engineering.
• Proficient with either R or Python
• Track record of original baseball research
• Experience with any of pitch level data, hit vector data, biomechanical data
• Experience with predictive modeling
• While many candidates are no doubt capable, the Mariners desire a skill set that can impact, innovate and add value immediately.

Compensation:
This position is compensated.

To Apply:
To apply, please follow this link

Position: Quantitative Analyst, Baseball Analytics

Department: Baseball Research & Development

Description:
The Los Angeles Dodgers seek a full-time, entry-level analyst for the team’s Baseball Analytics group. Their objective is to identify highly talented, mathematically-oriented candidates as they build an industry-leading analytics team.

Job Functions:

• Statistical modeling and quantitative analysis to support one or more research projects focused on player evaluation/development and strategic decision-making
• Developing, automating, and implementing mathematical, statistical, and/or machine learning models
• Preparing reports and presentations to disseminate model results to front office, coaching staff, player development, scouting, and medical/performance staff
• Performing ad hoc data analysis to support Baseball Operations
• Other duties and responsibilities as assigned

Basic Requirements and Qualifications:

• B.S. in mathematics, statistics, computer science, operations research, or a related quantitative field
• Experience building and validating mathematical, statistical, and/or machine learning models, preferably in Python or R
• Some computer programming experience
• Familiarity with SQL
• Knowledge of recent advances within the public baseball research community
• Desire to work in a collaborative team environment

You should apply if:

• You want to help the Dodgers build an industry-leading analytics team
• You love to compete, and you want to see the impact of your work on the field and in the box score

When you apply for this job online, please include answers to following questions in your cover letter, using 500 words or fewer:

• When are you available to start?
• Why are you interested in pursuing this opportunity?
• What experience do you have building mathematical and/or statistical models?
• Additionally, if you are or were enrolled in a university degree program (within the last three years), please include with your application a complete list of the technical courses that you have taken or in which you are currently enrolled, along with course numbers and grades.

To Apply:
Qualified candidates should submit a cover letter and resume online at www.dodgers.com under Job Opportunities. The deadline for applications is November 9, 2018.

Position: Analyst, Baseball Research

Description:
The Toronto Blue Jays are seeking a highly motivated and creative Baseball Research Analyst to conduct baseball research and contribute to ongoing departmental research. Additionally, the analyst will create tools that incorporate data into the decision making process, as well as learn how decisions are made in all areas of Baseball Operations and work to improve those processes.

Please note that this is a full-time position.

Responsibilities and Duties:

• Design, test, implement and maintain advanced baseball metrics and predictive models using statistical techniques in order to contribute to strategy and decisions across all departments within Baseball Operations.
• Conduct empirical research related to baseball strategy and player evaluation, with an understanding of how findings would apply to better decision making and increased operational effectiveness.
• Collaborate with the front office, coaches and scouts to develop best practices for analyzing and displaying baseball data, including the creation of reports, charts, graphics, and other tools to deliver information to end users. Results of this work should help those within the organization better understand, consider and apply the use of information and data to their decisions and operation on a daily basis.
• Collaborate with members of the Research and Development Department to provide constructive feedback on their projects.
• Complete ad-hoc database queries and analysis as dictated by circumstances.
• Recommend new data sources for purchase and/or new techniques to gather proprietary data.
• Work to integrate new information into existing Baseball Operations processes and infrastructure.

Experiences and Job Requirements:

• Passion for baseball and excellent reasoning, problem-solving, creative thinking, and communication skills.
• Demonstrated ability to successfully design and execute rigorous quantitative research projects.
• Published quantitative research about baseball (either online or print), related experience with sports teams or facilities, and/or open source code to review is a plus.
• Strong understanding of current baseball research.
• Proficiency with R, Python or other similar mathematical language is required.
• Proficiency with SQL and relational databases is required.
• Understanding of Python, Perl, Ruby or other similar scripting language is a plus but not required.
• Demonstrated experience with machine learning methods, including clustering, random forests, boosting, and neural networks is a plus but not required.
• Experience with web design is a plus but not required.
• Strong interpersonal skills to communicate effectively with a wide range of individuals including members of the front office, scouts, and field staff.
• Ability to read, speak and comprehend English effectively.
• Ability to work evening, weekend and holiday hours.

To Apply:
Please email a copy of your resume to baseballresumes@bluejays.com and answer these 3 prompts in the body of the email. Please limit your answers to no more than one paragraph per question.

• Describe in detail a time when you used your analytical and research skills to answer a research question, ideally about baseball.
• What experience of yours do you feel has best prepared you for this opportunity?
• In addition to FanGraphs, what baseball websites do you read and why?

I like the postseason but on this score it fails: it precludes us from saying anything too definitive about baseball broadly understood. The sample size is just too small. Guys are tired. There are so many pitchers, and a lot of them are used in funny ways. We can’t feel secure that the knowledge gleaned there means anything. Still, October does manage to reveal some truths. For all its oddity, it seeks out certainties. It has replay.

To wit, as Jeff detailed Wednesday night’s ALCS game featured a controversial Joe West fan-interference call on a would-be Jose Altuve home run. The call was challenged but was allowed to stand because replay officials couldn’t determine if the fans entered the field of play to prevent Mookie Betts from catching the ball. (If Betts were judged to have entered the stands, the interference question would be moot, under rule 6.01(e) of the Official Baseball Rules 2018 edition, and also the general principle that teenagers in horror films ought to know better than to go into the basement.)

Here are the fans in question. An obvious bunch of leaning scamps, but a blurry bunch at a tough angle.

The officials’ struggle to reach a definitive conclusion, to find “clear and convincing evidence,” was largely the result of this man, whose body happened to block the one view of the play the replay center needed most.

It is here, in our failed quest to be sure, that we learn something. We find that it is possible to be simultaneously quite good and quite bad at one’s job.

Quite good, because surely displaying a close, keen interest in the goings on at the wall is importantly necessary to assuring the physical safety of both players and fans; quite bad, because, entirely by accident, this security man has robbed us of our ability to be sure, at precisely the moment we crave being sure the most. We are secure in body but unmoored in the mind, and him? He is Schrödinger’s Employee of the Month.

Betts maybe wasn’t interfered with. Joe West probably got the initial call wrong; sometimes we can hazard a confident guess. But absent certainty on either score, there is some value, especially in times when we can claim to know so little, in confirming that humans are possessed of multitudes, even if only in small samples.

Please note, this posting contains multiple positions.

Position: SQL Developer

Position Overview:
The New York Yankees organization is accepting applications for an experienced SQL developer in their Baseball Operations department. This position reports to their senior Baseball Operations executives and will assist in the development of database systems. Their goal is to integrate these systems with existing baseball analytics tools and web-applications as part of their player information and evaluation platform.

Primary Responsibilities:

• Analyze business requirements and design reports using stored procedures to support Yankees front office baseball applications
• Perform data integrity checks between systems to identify discrepancies
• Set up ETL operations to import and normalize data from different data providers
• Performance tuning of SQL objects and queries
• Work with major and minor league pitch, hit and player tracking datasets, college and other amateur data, international baseball data, and many other baseball data sources

Qualifications and Experience:

• Must have 3-5 years experience developing in T-SQL
• Proven experience developing stored procedures, CRUD operations and advanced data manipulation skills with T-SQL (CTEs, pivots, temp tables, XML)
• Ability to design and layout a database schema from scratch, including table objects, constraints, indexes, foreign keys, and triggers
• Experience in ETL operations, specifically loading data via different techniques, including bulk loading using BCP operations
• Experience performance tuning of queries and database objects, including things like table partitioning, index tuning, query hints, locking, schema normalization
• Ability to utilize SQL Profiler and a thorough understanding of execution plans
• Excellent communication and problem-solving skills – must be able to breakdown a complex task and put together an execution strategy with little guidance
• Proven understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas

Job Questions:

• How did you hear about this job?
• Do you have 3+ years experience writing in T-SQL?
• Describe techniques you have used for performing data loading operations.
• How you would approach the identification of a performance issue in a SQL query?
• Have you ever worked with any baseball datasets before? If so, please describe which ones and how you used them.

To Apply:
To apply, please complete the following application.

Position: Web Application Developer

Primary Responsibilities:

• Assist in the design and implementation of web-based tools and applications for senior baseball operations personnel
• Migrate and adapt existing web applications for mobile devices and various hardware platforms
• Interface with all departments within Baseball Operations (scouting, player development, coaching, analytics) to build tools and reporting capabilities to meet their needs
• Work with major and minor league pitch, hit and player tracking datasets, college and other amateur data, international baseball data, and many other baseball data sources

Qualifications and Experience:

• Bachelor’s degree in Computer Science or related field
• 3-5 years experience with data-driven web application development using:
  • ASP.NET/C# using MVC and WebAPI
  • nHibernate or other O/R framework
  • AngularJS and Bootstrap
• An understanding of CSS, cross-browser, and responsive web development, including a strong understanding of desktop vs. mobile UI/UX design techniques
• Familiarity with Microsoft Visual Studio and source code management tools (Subversion, Git, TFS/VSS)
• Proficient in SQL databases and various database design principles (Microsoft SQL Server a plus)
• Knowledge of the software development lifecycle (requirements definition, design, development, testing, implementation, verification), Agile, and industry best practices
• Excellent communication and problem solving skills – must be able to breakdown a complex task and put together an execution strategy with little guidance
• An understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas a plus

Job Questions:

• How did you hear about this job?
• Do you have experience writing database-driven web applications, using ASP.Net/C#?
• Describe one data-driven web application you’ve developed and how you’ve utilized ASP.NET/C# and an RDBMS in its development?
• Do you have experience with AngularJS or other client-side Javascript framework?
• List any active websites or mobile applications you have developed (and the technologies they use) that might showcase your work.

To Apply:
To apply, please complete the following application.

Position: Data Engineer

Description:
The New York Yankees Baseball Operations department is accepting applications for an experienced data engineer with a focus on data quality analysis. This position reports to the senior Baseball Operations executives and will assist in the development and maintenance of the Yankees data processing pipelines.

Primary Responsibilities:

• Prepare, clean, format analytical datasets for processing by data scientists
• Become an expert in the team’s datasets, their strengths and weaknesses, and write code to pull and verify data in response to data scientist requests
• Using R, visualize complex, multi-source data to pinpoint data quality issues
• Build automated pipelines for processing and cleaning data
• Conduct database feature engineering to support ongoing quantitative research
• Work with developers to create and deploy systems for anomaly detection
• Interface with data scientists, software developers, and other baseball operations staff as needed
• Design department-wide principles and workflow for data quality management
• Serve as the main point-of-contact for questions about data structures, definitions, and quality

Qualifications and Experience:

• Bachelor’s degree in Computer Science or related field
• 3+ years of experience developing in SQL (preferably T-SQL)
• 2+ years of experience with data profiling, data modeling, and data pipeline development
• 2+ years of experience developing in R (or a similar statistical programming language), including experience with data manipulation and visualization in that language
• Ability to write succinct code with optimal performance and simplicity
• Excellent communication and problem-solving skills – must be able to break down a complex task and put together an execution strategy with little guidance
• An understanding of typical baseball data structures, basic and advanced baseball metrics, and knowledge of current baseball research areas

Job Questions:

• How did you hear about this job?
• Describe your experience writing in T-SQL.
• Describe your experience writing in R. What packages do you use most?
• Describe your experience with data engineering and the specific techniques you’ve used.
• At a high-level, describe briefly what steps you would take to identify data biases or inconsistencies in an unfamiliar/new dataset?
• Have you ever worked with baseball data sets before? If so, please describe which ones and how you used them.

To Apply:
To apply, please complete the following application.

Position: Associate, Quantitative Analysis

Description:
This position is a rigorous 12-month program geared to prepare entry level candidates for a career within the Baseball Operations industry.

Responsibilities:

• Assist in research and analysis of various baseball topics
• Design, test and implement predictive models using advanced statistical techniques
• Prepare, manage, and visualize large-scale data sets
• Develop processes for monitoring and ensuring data quality across multiple data sources
• Responsibilities may also include data collection and entry, running database queries and administrative tasks

Qualifications:

• Bachelor’s degree or higher in a Mathematics, Statistics, Computer Science or related field required
• Experience building predictive models, preferably in R
• Computer programming experience
• Experience using SQL
• Familiarity with current baseball research
• Understanding of fundamental concepts in statistics and probability

Job Questions:

• How did you hear about this job?
• When are you available to start?
• What classes have you completed in math, statistics, probability, and/or computer science?
• Describe any previous experience building statistical models.
• Which programming languages are you proficient in and what is your preferred language? If applicable to the language, please describe any libraries/packages you use.
• Describe any previous experience using SQL, if any.
• Please list any previous baseball/softball experience. This can include playing experience, research experience, coaching experience, writing experience, and more.
• Will you now or in the future need visa sponsorship status to lawfully work in the United States?

To Apply:
To apply, please complete the following application.

Position: Associate, Baseball Operations

Description:
This position is a rigorous 12-month program geared to prepare entry level candidates for a career within the Baseball Operations industry.

Responsibilities:

• Coordinate and prepare advance scouting material for the New York Yankees
• Support the Baseball Operations and Pro Scouting staffs with daily logistical tasks
• Chart select games from video, as well as execute additional video projects
• Introductory level player evaluation
• Assist with various research tasks
• Data collection and entry
• Administrative tasks as assigned

Qualifications:

• Bachelor’s degree required
• Experience working with BATS coaching system
• Must be able to recognize pitch types and know how to score a baseball game
• General understanding of MLB rules and regulations
• Detail oriented and organized
• Strong verbal communication and collaborative skills
• Experience working with video and in baseball

Job Questions:

• How did you hear about this job?
• What is the earliest date that you are available to start the Associate program?
• What are your favorite statistics for evaluating baseball players?
• What are your favorite baseball-related websites, books, or podcasts?
• Who do you think are the five best starting pitchers in MLB right now?
• Do you have any previous baseball or softball experience? Please provide specific examples.
• Will you now or in the future need visa sponsorship status to lawfully work in the United States?

To Apply:
To apply, please complete the following application.

These descriptions are intended to describe the type of work being performed by a person assigned to these positions. They are not an exhaustive list of all duties and responsibilities required by the employee. The New York Yankees is an Equal Opportunity Employer. The company is committed to the principles of equal employment opportunity for all employees and applicants for employment.

Position: Boston Red Sox Analyst

Location: Boston, MA

Description:
The Boston Red Sox are seeking an Analyst for the team’s Baseball Analytics department. The role will support all areas of Baseball Operations while working closely with the SVP/Assistant GM, Director of Baseball Analytics, and the department’s team of analysts.

This is an opportunity to work in a fast-paced, intellectually curious environment and to impact player personnel and strategic decision making.

Responsibilities:

• Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of player evaluation, strategic decision-making, decision analysis, etc.
• Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the Baseball Operations leadership.
• Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
• Other projects and related duties as directed by the Director, Baseball Analytics, and other members of Baseball Operations leadership.

Qualifications:

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, or operations research.
• Demonstrated experience with baseball data analysis.
• Advanced understanding of statistical methods or machine learning techniques.
• Proficiency with modern database technologies including SQL.
• Demonstrated experience with programming languages (e.g., R or Python).
• Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
• Proficiency in Microsoft Office (Excel, PowerPoint, Word).
• Demonstrated work ethic, passion for baseball, and strong baseball knowledge, including familiarity with current baseball research and analysis.
• Attention to detail while also having the ability to work quickly and balance multiple priorities.
• Experience working for a major league club preferred.
• Ability to work evening, weekend, and holiday hours is a must.
• Other programming and database skills are a plus.

To Apply:
To apply, please send an email to analyticsresume@redsox.com with the subject “Office Analyst”. Please include the following items/answer:

• Updated resume
• Example of analysis you’ve done, preferably related to baseball.
• What is a project that you believe would add substantial value to a baseball team? Please describe the project and provide an overview of how you would complete it.

We’ve rolled out some interface updates to the Splits Leaderboards.

The biggest change is the addition of quick splits and a ribbon control interface. The quick splits represent the most frequently used splits: home/away, handedness, and starting pitcher/relief pitcher. To keep the control area of the board condense, we implemented a ribbon / tabbed interface for the controls. If you would still like to see everything at once, you can click “Show All”.

The data export button has been moved closer to the data grid and will now export only the data and stats on the current board.

We are in the process of designing more data features and stats for this board. And if you notice any bugs or errors, please let us know.

Position: Boston Red Sox Major League Clubhouse Analyst

Location: Boston, MA

Description:
The Boston Red Sox seek an analyst to support the major league coaching staff while working closely with the major league manager, senior analyst in Baseball Analytics, and Advance Scouting department.

This is an opportunity to work in a fast-paced, intellectually curious environment and to potentially impact player performance and on-field strategy.

Responsibilities:

• Statistical modeling and quantitative analysis of a variety of data sources, for the purpose of optimizing on-field player performance and strategic decision-making.
• Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of the major league coaching staff.
• Travel with the major league team throughout the season, including to the Red Sox spring training facility. During the offseason this position will be based in Boston working with Baseball Analytics.
• Maintain working expertise of leading-edge analytics, including publicly available research and novel statistical approaches, in order to recommend new or emerging techniques, technologies, models, and algorithms.
• Other projects and related duties as directed by the major league manager, senior analyst in Baseball Analytics, and other members of Baseball Operations leadership.

Qualifications:

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, or operations research.
• Demonstrated experience with baseball data analysis.
• Advanced understanding of statistical methods or machine learning techniques.
• Proficiency with modern database technologies including SQL.
• Demonstrated experience with programming languages (e.g., R or Python).
• Demonstrated ability to communicate technical ideas to non-technical audiences using data visualization.
• Proficiency in Microsoft Office (Excel, PowerPoint, Word).
• Demonstrated work ethic, passion for baseball, and strong baseball knowledge, including familiarity with current baseball research and analysis.
• Attention to detail while also having the ability to work quickly and balance multiple priorities.
• Experience working for a major league club preferred.
• Ability to work evening, weekend, and holiday hours is a must.
• Other programming and database skills are a plus.

To Apply:
To apply, please send an email to analyticsresume@redsox.com with the subject “Clubhouse Analyst.” Please include the following items/answers to the following questions:

• Updated resume
• Example of analysis you’ve done, preferably related to baseball
• What is a project that you believe would add substantial value to a baseball team? Please describe the project and provide an overview of how you would complete it.