Direct Links (Please see full job postings below):

Senior Data Scientist
Data Scientist

Senior Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Senior Data Scientist in Baseball Analytics. The Senior Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. 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

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Assist with recruiting, hiring, and mentoring new analysts in the Baseball Analytics department

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze recent research in analytics that can help improve the modeling work done by the Baseball Analytics department

Qualifications:

• Ph.D. in statistics or a related field, or equivalent professional experience

• Strong background in a wide variety of statistical techniques

• Strong proficiency in R, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

Salary Range: $115,000 – $145,000

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.

Data Scientist, Baseball Analytics

Location: Citi Field – Queens, New York

Summary:
The New York Mets are seeking a Data Scientist in Baseball Analytics. The Data Scientist will build, test, and present statistical models that inform decision-making in all facets of Baseball Operations. 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.

Qualifications:

• Masters and/or BS 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, Python, or similar, as well as strong proficiency in SQL

• Basic knowledge of data engineering and front-end development is a plus, for the purpose of communicating with those departments

• Strong communication skills

• Ability to work cooperatively with others, and to take control of large-scale projects with little or no daily oversight

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

• Provide advice on the desired outputs from the data engineering team, and guidance to the Baseball Systems team on how best to present model results

• Evaluate potential new data sources and technologies to determine their validity and usefulness

• Consistently analyze research in analytics that can help improve the modeling work done by the Baseball Analytics department

Salary Range: $80,000 – $110,000

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 (Please see full job postings below):

Lead Data Engineer
Machine Learning Engineer
Lead Software Engineer

Lead Data Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Data Engineer with a passion for baseball and technology to lead the development of timely and reliable data pipelines. Your work will deliver the data that informs the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Serve as the tech lead for the Marlins’ Data Engineering team.
• Lead the design, development, documentation, and maintenance of schemas and ETL pipelines for internal databases and data warehouses that scale and adapt to future use cases.
• Break down complex data engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Implement and test collection, mapping, and storage procedures for secure access to internal and external data sources.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to automate and execute data engineering workflows.
• Develop algorithms for quality assurance and imputation to prepare data for exploratory analysis and quantitative modeling.
• Coordinate with data providers around planned changes to data feeds.
• Research, design, test, and implement generalizable software architectures for data ingestion, processing, and integration and guide organizational adoption and strategies for infrastructure maintenance and data-related cost savings.
• Define and encourage team-wide adoption of data engineering standards.
• Effectively communicate complex technical concepts to both internal and external audiences.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates, and provide guidance and technical mentorship for junior engineers.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Significant experience in back-end software design and development.
• Experience with ETL architecture and development in a cloud-based environment.
• Fluency in SQL and an understanding of database and data warehousing technologies.
• Proficiency with Python (preferred), Scala, and/or other data-oriented programming languages.
• Experience with automated data quality validation across large data sets.
• Familiarity working with virtual machines in a cloud environment.
• Strong software engineering and problem-solving skills.
• Expertise developing complex databases and data warehouses (e.g. BigQuery, RedShift, Snowflake) for large-scale, cloud-based analytics systems
• Experience with task orchestration and workflow automation tools such as Airflow.
• Proficient in designing, deploying, and managing containerized applications with tools such as Docker and Kubernetes.
• Ability to successfully coach junior engineers to grow in their own careers.

To Apply:
To apply, please follow this link.

Machine Learning Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Machine Learning Engineer with a passion for baseball and technology to implement, automate, and optimize our data scientists’ quantitative models. Your work will deliver the models that inform the decisions that build a sustainable winning team in Miami.

Key Responsibilities:

• Optimize, automate, and validate quantitative models built using statistics, machine learning, optimization, and simulation.
• Develop, schedule, monitor, and maintain model training and prediction workflows.
• Develop and maintain abstractions for model deployment that allow our workflows to run efficiently and be easily adapted to future use cases.
• Assess, provision, monitor, and maintain the appropriate infrastructure and tooling to execute model training and prediction workflows.
• Create visualizations with dashboard or application development frameworks to deliver data insights to Baseball Ops users.
• Deploy REST APIs on top of fitted models using distributed computation to support real-time, client-facing integration.
• Coordinate with the broader engineering team to plan and implement changes to core infrastructure.
• Collaborate with data scientists to define and manage model productionalization and platform release plans.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Academic and/or industry experience in software design and development.
• Academic, industry, and/or research experience with applied mathematical and predictive modeling (statistics, machine learning, optimization, and/or simulation).
• Experience with cloud infrastructure and distributed computing.
• Experience with back-end development, including fluency with Python (preferred), R, or other data-oriented and statistical programming languages.
• Experience with relational databases and SQL development.
• Familiarity working with Linux servers in a virtualized/distributed environment.
• Strong software-engineering and problem-solving skills.

Job Questions:

1. What is one baseball data or modelling challenge that an MLB Research group faces? What would be your first step in tackling that problem?
2. Describe the most impactful work of your career. What made it so valuable?

To Apply:
To apply, please follow this link.

Lead Software Engineer

Location: Miami · FL
Status: Player Operations: Team Administration/Operations

Description:
We seek a Lead Software Engineer with a passion for baseball and technology to lead the development of timely and reliable Baseball Ops applications. You will deliver the applications used throughout the Baseball Ops department to build a sustainable winning team in Miami.

Key Responsibilities:

• Lead the design, development, documentation, and maintenance of software to support all Baseball Operations workflows.
• Cultivate a high performing environment where individual contributions are well connected to broader organizational goals.
• Actively develop members of the engineering team, providing technical perspectives, coaching, support, and development opportunities.
• Facilitate communication and collaboration across the organization, including with non-technical staff, during software development and support processes.
• Define standards and practices to support the engineering needs of the organization, including the discovery, vetting, and implementation of new technologies and tooling as the industry evolves.
• Break down complex engineering projects into actionable work plans including proposed task assignments with clear design specifications.
• Architect and lead implementation of generalized application tooling to improve product outcomes and developer experience.
• Collaborate with organizational leadership to establish medium to long term planning strategies for software delivery.
• Assist with recruiting and outreach for the engineering team, including building a diverse network of future candidates.
• Fulfill other related duties and responsibilities, including rotating platform support.

Qualifications:

• Expertise in architecting and implementing modern application systems, including significant experience in one or more of the following domains:
• Front-end development: Working in modern, component-based frameworks like React, Vue, or Svelte, ideally having experience with meta-frameworks like NextJS.
• API development: Working in RESTful monolithic and microservice architectures, ideally across multiple languages.
• Strong experience working in cross-functional product teams, including with non-technical teammates, to design, develop, and deliver software products that meet user needs.
• Familiarity working with different methods of application delivery, including cloud providers (GCP, AWS, Azure), on-prem resources, and/or front-end cloud providers like Vercel.
• Proficiency with several of the following: TypeScript (preferred), JavaScript, HTML, CSS, Python.
• Fluency in SQL development and an understanding of relational database technologies.
• Strong software-engineering and problem-solving skills.
• A history of close collaboration with product designers, ideally including experience with design tools and practices.
• Experience adapting, retraining, and retooling in a rapidly changing technology environment.
• A history of successfully coaching junior engineers to growth in their own careers.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

With the most recent list cycle completed and the draft concluded, I’ve updated the Top 100 Prospects list, which you can now find over on The Board. I’ll have a couple of posts detailing the player movement up shortly, starting with the pitchers. Remember that you can see whose FV grade has changed with this update in the “Trend” column. There are several cases where a player’s ordinal ranking shifted a bit but their FV grade (which is the more important thing) did not, and thus they have no trend arrow.

In addition to the handful who made the Top 100, recent draft picks have been added to the team-by-team prospect lists. Graduating rookies have been pulled off the Updated 2024 Report and can be found on the 2024 Graduates tab. The pre-draft/pre-graduation 2024 Report can be found here. Read the rest of this entry »

Direct Links (Please see full job postings below):

Senior Analyst
Analyst

Senior Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As a Senior Analyst specializing in predictive modeling, you will play a pivotal role in transforming data into actionable insights to guide critical decisions across the organization. You will be responsible for developing and deploying sophisticated Bayesian models and automating workflows for cloud-based model deployment. Your role involves collaborating with cross-functional teams and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Lead the development and deployment of advanced predictive models using Bayesian methods.
• Collaborate with cross-functional teams to integrate predictive modeling into cloud-based applications and tools for baseball decision support.
• Mentor and provide technical guidance to junior analysts in the department, fostering a culture of continuous learning and innovation.
• Stay abreast of emerging trends and technologies in data science and baseball analytics, identifying opportunities for innovation and improvement.

Qualifications:

• Bachelor’s degree or equivalent experience in statistics, mathematics, computer science, or a related quantitative field.
• 5+ years of experience building and deploying predictive models, with expertise in Bayesian methods using technologies such as Stan or PyMC.
• Proven track record of success in productionizing models in cloud environments, with experience in platforms such as AWS, Azure, Snowflake, or Google Cloud.
• Strong proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation and analysis.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Passion for baseball and a deep understanding of sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital, or veteran status, or any other protected status.

Job Questions:

1. What is one baseball question you’d like to research? Please describe how you’d answer that question. (Max 300 words)

To Apply:
To apply, please follow this link.

Analyst

Marlins – Manager
Miami · FL
Player Operations: Team Administration/Operations

Role Summary:
As an Analyst specializing in predictive modeling within our Baseball Operations department, you will contribute significantly to data-driven decision-making processes. Your role involves developing and implementing advanced statistical models, collaborating with cross-functional teams, and aiding in player evaluation and strategic decision-making.

Key Responsibilities:

• Develop and implement predictive models utilizing baseball data.
• Collaborate with cross-functional teams to integrate statistical analyses into cloud-based applications and tools for baseball decision support.
• Stay updated with emerging trends and technologies in data science and baseball analytics, identifying areas for innovation and improvement.
• Provide support to Senior Analysts in model development and data analysis tasks.

Qualifications:

• Bachelor’s degree in statistics, mathematics, computer science, or a related quantitative field.
• 3+ years of experience in building and deploying statistical models.
• Proficiency in statistical programming languages such as R or Python, as well as SQL for data manipulation.
• Strong communication skills to convey technical concepts effectively.
• Passion for baseball and familiarity with sabermetrics and player evaluation methodologies.

Nice to Haves:

• Advanced degree (Master’s or Ph.D.) in a quantitative field.
• Familiarity with additional statistical techniques such as spatial statistics or time series analysis.
• Experience with Bayesian methods using technologies such as Stan or PyMC.
• Familiarity with cloud environments such as AWS, Azure, Snowflake, or Google Cloud.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identify, marital or veteran status, or any other protected status.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

Data Engineer

Marlins – Entry Level
Miami · FL
Player Operations: Team Administration/Operations

Position Summary:
The Miami Marlins are seeking a full-time Data Engineer for the Baseball Analytics department. The candidate will be responsible for designing, implementing, and optimizing ETL processes that ingest, validate, and organize baseball data. The Data Engineer will support the information requirements of our Baseball Operations deparments. Strong applicants will have experience with modern data processes and database management, with extensive knowledge of both SQL and Python.

Responsibilities:

• Continuously improve the department’s access to information; design, develop, and optimize ETL processes to ingest data from new data sources.
• Improve completeness, cleanliness, and timeliness of existing data sources.
• Write automated, production-quality Python and SQL scripts using effective code practices.
• Maintain high data quality standards. Proactively identify, diagnose, and resolve data issues.
• Learn, extend, and improve the existing database architecture – ensuring data is well organized for end-users and easy to connect to other data sources.
• Maintain a version-controlled code repository of ETL scripts.
• Collaborate with Baseball Operations staff to understand our organization’s information needs.
• Prioritize workflows effectively and share relevant expertise to best support data users.

Qualifications & Requirements:

• Strong work ethic, attention to detail, and ability to self-direct.
• Passion for engineering development, creativity, intellectual curiosity.
• Excellent interpersonal, verbal, and written communication skills.
• Demonstrated experience with SQL and Python.
• Demonstrated experience with ETL/ELT processes and database management.
• Experience working with data in various formats including JSON, CSV, etc.
• Degree in Computer Science, Information Systems, or equivalent.
• Understanding of and passion for baseball and baseball research.
• Ability to work extended hours including evenings, weekends, and holidays.

Nice to Haves:

• Experience with workflow orchestration tools such as Airflow, Dagster, or Prefect.
• Familiarity with cloud computing platforms such as Snowflake, GCP, or AWS.
• Knowledge of container-based environments, including Docker and Kubernetes.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Miami Marlins.

As I continue to meticulously make my way through the prospect lists (Cincinnati is next), I’ve pushed all the scouting reports for rookies who are currently on National League active rosters live to The Board. These reports often include updated notes from this spring. The American League guys went up earlier in the week. Today’s players are:

• Blaze Alexander, SS, Arizona Diamondbacks
• Bryce Jarvis, MIRP, Arizona Diamondbacks
• Jorge Barrosa, CF, Arizona Diamondbacks
• Anthony Molina, MIRP, Colorado Rockies
• Victor Vodnik, SIRP, Colorado Rockies
• Sixto Sánchez, SIRP, Miami Marlins
• Hunter Stratton, SIRP, Pittsburgh Pirates
• Ryder Ryan, SIRP, Pittsburgh Pirates
• Landen Roupp, SIRP, San Francisco Giants
• Keaton Winn, SP, San Francisco Giants
• Erik Miller, SIRP, San Francisco Giants
• Nick Avila, SIRP, San Francisco Giants
• Tyler Fitzgerald, UTIL, San Francisco Giants
• Michael Siani, CF, St. Louis Cardinals
• Ryan Fernandez, SIRP, St. Louis Cardinals
• Pedro Pagés, C, St. Louis Cardinals
• Nasim Nuñez, SS, Washington Nationals
• Trey Lipscomb, 3B, Washington Nationals

Read the rest of this entry »

As I continue to meticulously make my way through the prospect lists (Cleveland and Cincinnati are next), I’ve pushed all the scouting reports for rookies who are currently on American League active rosters live to The Board. These reports often include updated notes from this spring. Those players are:

• Colton Cowser, LF, Baltimore Orioles
• Nolan Schanuel, 1B, Los Angeles Angels
• Emerson Hancock, SP, Seattle Mariners
• Justin Foscue, 1B/2B, Texas Rangers
• Justin Slaten, SIRP, Boston Red Sox
• Nick Loftin, 2B, Kansas City Royals
• Darell Hernaiz, SS, Oakland Athletics
• Joe Boyle, SP, Oakland Athletics
• Wilyer Abreu, RF, Boston Red Sox
• Austin Martin, LF, Minnesota Twins
• Jacob Latz, MIRP, Texas Rangers
• Matt Sauer, SIRP, Kansas City Royals
• Austin Shenton, 1B, Tampa Bay Rays
• Guillermo Zuñiga, SIRP, Los Angeles Angels
• Kody Funderburk, SIRP, Minnesota Twins
• Mitch Spence, MIRP, Oakland Athletics
• Kyle McCann, C, Oakland Athletics

Read the rest of this entry »

I saw Dylan Cease’s start on Monday night and wanted to pass along some notes and video of him following his trade to the Padres. I also wanted to share fresh spring notes on the new White Sox prospects acquired yesterday. Let’s start with Cease. Here is my video from his unbroadcast start:

Read the rest of this entry »

Cape Cod Intern

Job Title: Cape Cod Intern
Department: Amateur Scouting
Reporting to: Assistant Director, Scouting & Baseball Operations
Job Classification: Part-time, nonexempt
Location (City, State): Cape Cod, Massachusetts

Description:
The Oakland Athletics are currently seeking a seasonal Cape Cod Intern for the Amateur Scouting department. This position will be responsible for the Oakland Athletics’ scouting coverage of the Cape Cod Baseball League during the summer of 2024.

Responsibilities:

• Evaluate amateur baseball players and create scouting reports on their current skills and projection of potential future skills.
• Produce, curate, and analyze video and other relevant data for targeted baseball prospects. 
• Establish relationships with coaches within the Cape Cod Baseball League to acquire pertinent information regarding player health and scheduling.
• Effectively communicate player updates to internal stakeholders. 
• Develop and maintain a detailed schedule to ensure appropriate coverage of players and teams across the Cape Cod Baseball League.

Qualifications/Requirements:

• High degree of baseball acumen and understanding of evaluating baseball skills. 
• Excellent interpersonal skills and the ability to communicate effectively with a wide variety of audiences.
• Strong organizational skills, time management, and attention to detail.
• Experience working with video equipment. 
• Flexibility to work extensive hours including nights, weekends, and holidays, as necessary to follow the Cape Cod Baseball League games. 
• Must have access to reliable transportation and housing accommodations in the region. 

The Oakland A’s diversity statement:
Diversity Statement Diversity, Equity, and Inclusion are in our organizational DNA. Our commitment to these values is unwavering – on and off the field. Together, we continue to build an inclusive, innovative, and dynamic culture that encourages, supports, and celebrates belonging and amplifies diverse voices. Combining a collaborative and innovative work environment with talented and diverse team members, we’ve created a workforce in which every team member has the tools to reach their full potential.

Equal Opportunity Consideration:
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

The base hourly rate for this role is $15.50.

To Apply:
To apply, please follow this link.

The content in this posting was created and provided solely by the Oakland Athletics.

Direct Links (Please see full job postings below):

Developer, Baseball Systems
Analyst, Baseball Analytics

Developer, Baseball Systems

Location: Boston, MA, United States
Status: Full-Time / On-Site

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

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

RESPONSIBILITIES

• Create leading-edge baseball solutions together with the software development team and others on new and existing baseball systems
• Contribute to the design and implementation of the software architecture and embrace a software engineering mindset
• Participate in key phases of the software development process of critical baseball applications, including requirements gathering, analysis, effort estimation, technical investigation, software design and implementation, testing, bug fixing, and quality assurance
• Responsible for the design and development of complex web-based user interfaces, web services, back-end logic, and other aspects of web applications
• Actively participate with other software developers in design reviews, code reviews, and other best practices
• Work closely at times with baseball analysts to design and implement solutions to their data needs
• Respond to and resolve technical problems and issues in a timely manner
• Identify and implement creative solutions for technical challenges

CHARACTERISTICS/QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related field
• 0-2 years of front-end development experience building web applications with frameworks such as Angular or React, and experience developing with Typescript, CSS, HTML, C#, ServiceStack, T-SQL, or similar technologies, is required.
• Experience with relational database design and development in SQL Server, Snowflake, MySQL, PostgreSQL, or similar technologies, is required.
• Experience building front-end visualizations using D3, chart.js, or similar, is a plus
• Experience developing with cloud technologies from Azure, GCP, or AWS are a plus
• Experience integrating systems and data using third-party APIs and services are a plus
• Ability to work autonomously and as a team in a fast paced environment
• High level of attention to detail with the ability to multi-task effectively
• Comfortable working remotely when required and using Zoom, Teams, Slack, Trello, and other tools to communicate with all team members
• High degree of professionalism and ability to maintain confidential information
• Excellent organizational and time management skills
• An understanding of baseball, common terms, and analytic measures, is a plus

At the Boston Red Sox and Fenway Sports Management, we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.

Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.

Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.

To Apply:
To apply, please follow this link.

Analyst, Baseball Analytics

Location: Boston, MA, United States
Status: Full-Time / On-Site

DEPARTEMENT OVERVIEW:
Baseball Analytics supports the decision-making processes throughout Baseball Operations, including Player Valuation, Player Development, Major League Strategic Information, and Sports Science. Core responsibilities include predictive modeling, long-term research, report creation, and delivering the output of one’s work in a clear and digestible manner.

POSITION OVERVIEW:
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 Director of Baseball Analytics, and our 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.

CHARACTERISTICS/QUALIFICATIONS

• Bachelor’s degree in an analytical field such as statistics, predictive analytics, data science, engineering, applied math, physics, quantitative social sciences, computer science, computer vision, or operations research.
• Masters, PhD, or equivalent experience in one of the aforementioned fields preferred.
• 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.

At the Boston Red Sox and Fenway Sports Management, we go beyond embracing diversity. We’re committed to living by our values, strengthening our community, and creating a workplace where people genuinely feel like they belong.

Too often, job seekers don’t apply to positions because they don’t meet every qualification. If you love this role and are great at what you do, we encourage you to apply. Your unique skills and experiences might just be what we’ve been looking for.

Prospective employees will receive consideration without discrimination based on race, religious creed, color, sex, age, national origin, handicap, disability, military/veteran status, ancestry, sexual orientation, gender identity/expression or protected genetic information.

To Apply:
To apply, please follow this link.

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