Job Posting: Nationals Baseball Research & Development Analyst and Data Engineer

Please note, this posting contains two positions.

Position: Analyst, Baseball Research & Development

Location: Washington, D.C.; West Palm Beach, FL

Summary:
The Washington Nationals are seeking a data analyst to join their Baseball Research & Development team. The role will focus on using the tools of data science to derive insights from baseball datasets to support decision making related to player evaluation, player development, roster construction, and in-game strategy. The analyst will work on projects both independently and collaboratively with other baseball R&D analysts and developers. Candidates should be passionate about both baseball and data analysis.

The Washington Nationals are committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Essential Duties and Responsibilities:

  • Build predictive models to answer baseball research questions and support organizational decision making.
  • Collaborate on projects with other analysts in baseball R&D and other stakeholders in baseball operations.
  • Perform analyses at the request of members of the baseball operations, player development, and advance scouting.
  • Design and build informative data visualizations for use in automated reports or internal web applications.
  • Write scripts for cleaning, processing, and summarizing datasets.
  • Review public research in baseball, statistics, and machine learning.

Requirements:
Minimum Education and Experience Requirements

  • Advanced degree or equivalent experience in statistics, computer science, machine learning or a related field.
  • Experience with analyzing datasets and training statistical models using R or Python.
  • Experience working with SQL databases.
  • Authorized to work in the United States.

Knowledge, Skills, and Abilities necessary to perform essential functions:

  • Independent worker with close attention to detail.
  • Creative and analytical thinker.
  • Ability to write and communicate clearly and effectively.
  • Enthusiasm for learning new skills related to programming, statistical modeling, data visualization, and using software tools.
  • Demonstrated passion for baseball and working in baseball operations.
  • Working knowledge of sabermetric concepts.
  • Uphold Core Values: Excellence, Performance, and Accountability. These core values set the tone in everything we do, help us succeed on and off the field, make a difference in the community and provide the best guest experience in sports. It is important that the person in the position commits themselves to these core values so that we can constantly move forward in the same direction – Together.

Physical/Environmental Requirements:

  • Office: Working conditions are normal for an office environment. Work may require occasional weekend and/or evening work.
  • Analysts are expected to attend at least half of the Nationals home games. Meals are provided to staff during the games.

To Apply:
To apply, please complete the application that can be found here.

Position: Data Engineer, Baseball Research & Development

Location: Washington, D.C.; West Palm Beach, FL; Remote

Summary:
The Washington Nationals are seeking a data engineer to join their Baseball Research & Development team. The role will focus on building solutions for importing, storing, and delivering datasets to support the work of data analysts and software developers in the baseball R&D group.

The Washington Nationals are committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Essential Duties and Responsibilities:

  • Maintain database systems to support the needs of data analysts, software developers, and front office staff.
  • Oversee the import of baseball datasets from various sources and ensure data quality and integrity.
  • Build solutions for integrating datasets from different sources.
  • Explore new technologies or possible improvements to our data infrastructure.

Requirements:

  • Minimum Education and Experience Requirements
  • Bachelor’s degree in computer science, computer engineering, information science, or related experiences.
  • 3+ years of experience working with SQL database systems (MySQL, MariaDB, PostrgreSQL). Understanding of relational database schema design.
  • Working knowledge of NoSQL database systems, such as MongoDB.
  • Fluent in a scripting language such as bash, Python, or R.
  • Experience working on Linux systems.
  • Familiarity with cloud computing platforms, such as AWS.
  • Authorized to work in the United States.

Knowledge, Skills, and Abilities necessary to perform essential functions:

  • Independent worker with close attention to detail.
  • Creative and analytical thinker.
  • Ability to write and communicate clearly and effectively.
  • Enthusiasm for learning new skills related to programming, databases, and using software tools.
  • Uphold Core Values: Excellence, Performance, and Accountability. These core values set the tone in everything we do, help us succeed on and off the field, make a difference in the community and provide the best guest experience in sports. It is important that the person in the position commits themselves to these core values so that we can constantly move forward in the same direction – together.

To Apply:
To apply, please complete the application that can be found here.

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


Job Posting: Cubs Development Coach

Position: Development Coach (Full-Time/Seasonal)

Location: Cubs minor league affiliates

Role:
This role will work closely with Player Development, Research and Development, and the coaching staff at a minor-league affiliate. The role will focus on collecting data from technologies, and assisting the coaching staff in leveraging information to aid in player development. Successful candidates will have a strong interest in evidence-based coaching and development, the technical aptitude to acquire expertise with the technologies and the resulting data, and the communication skills to work effectively with player development personnel to improve development outcomes for players. This position is located at one of the Cubs affiliates (Des Moines, Iowa; Knoxville, TN; South Bend, IN; Myrtle Beach, FL; Eugene, OR; Mesa, AZ), and would require travel on all road trips during the season.

Responsibilities:

  • Assist coaching staff with accessing information and video
  • Setup, operate and maintain technologies at the affiliate
  • Monitor data from technologies to ensure data quality
  • Write reports summarizing trends in data for coaches, player development
  • Assist coaching staff in making use of technologies, as guided by player development
  • Travel with the team

Qualifications:

  • Excellent written and verbal communication skills
  • Aptitude for information technology
  • Bachelor’s degree in an quantitative field preferred
  • Experience with programming or scripting languages (e.g., C, Python, R, SQL) preferred
  • Experience or strong interest in using baseball data to support coaching or skill development
  • Knowledge of advanced baseball statistics preferred
  • Fluency in Spanish preferred

To Apply:
To apply, please complete the application that can be found here.

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

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


Job Posting: Cubs Research and Development Analyst Roles

Please note, this posting contains multiple positions.

Position: Biomechanics Analyst

Description:
The Chicago Cubs are seeking a biomechanics analyst to join the Research and Development group in Baseball Operations. This role will primarily focus on the analysis of motion-capture biomechanical data. The analyst will work closely with the player development and the R&D team to develop methods and improve the effective understanding of biomechanics and how they relate to player performance and injury prevention.

Responsibilities:

  • Research, develop and test methods and models based on kinematic and biomechanical data for the purpose of player evaluation and injury risk assessment
  • Coordinate usage and collection of data in the Cubs’ hitting and pitching labs
  • Effectively present analyses through the use of written reports and data visualization to disseminate insights to members of baseball operations
  • Collaborate with physical trainers and physiologists to implement evidence-based recommendations in areas of throwing mechanics and injury rehabilitation
  • Collaborate with coaches and player development personnel to implement evidence-based recommendations in areas of pitch and swing mechanics
  • Work with web development team to integrate new statistical analyses, models and data visualizations into Cubs web applications
  • Identify, diagnose and resolve data quality issues

Qualifications:

  • Bachelor’s degree in a scientific field such as applied math, engineering, statistics, physics, neuroscience, biomechanics, physiology
  • Experience with SQL
  • Experience with programming languages (e.g., C, Python, or R)
  • Working knowledge of motion-capture technologies, force plates, and biomechanics as they relate to baseball
  • Passion for working with new motion tracking technologies
  • Excellent written and verbal communication skills

To Apply:
To apply, please complete the application that can be found here.

Position: Analyst, Research & Development

Description:
The Chicago Cubs are seeking analysts to join the Research and Development group in Baseball Operations. This role will focus on conducting core research to further the knowledge-base of the Chicago Cubs. The analyst will work closely with the entirety of the R&D department to develop methods to process data, improve the effective understanding and application of data, and disseminate analytic insights throughout the organization. Analysts may focus their efforts towards collaborating with the Amateur Scouting, International Scouting, or Player Development departments as strengths dictate.

Responsibilities:

  • Research, develop, and test methods and models for the purpose of player assessment, development, and acquisition, as well as the optimization of in-game strategy
  • Effectively present analyses through the use of written reports and data visualization methods to communicate relevant findings
  • Work with web development team to integrate new statistical analyses, models, and data visualizations into Cubs web applications
  • Incorporate new analysis into existing data processes to improve automated reporting
  • Identify, diagnose, and resolve data quality issues
  • Conduct in-depth evaluations of amateur and professional prospects
  • Handle data and analysis requests from the coaching staff and other departments within Baseball Operations
  • Examine and leverage data streams from new technologies that offer innovative data solutions

Qualifications:

  • Bachelor’s degree in an quantitative field such as statistics, engineering, applied math, physics, quantitative social sciences, computer science, operations research
  • Excellent written and verbal communication skills
  • Proficiency with SQL and at least one statistical programming language (e.g., C, Python, MATLAB, or R)
  • Working knowledge of advanced baseball statistics
  • Familiarity with advanced statistical modeling techniques
  • Relevant experience working in baseball preferred

To Apply:
To apply, please complete the application that can be found here.

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

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


Job Posting: League Economics & Operations Department Internship

Position: League Economics & Operations Department Internship (Summer 2020)

Location: New York, NY

Description:
The League Economics & Operations Department is currently seeking candidates for a paid, 2020 summer internship in New York City. The internship runs from the final week of May through the second week of August (12 weeks).

The League Economics & Operations Department is responsible for all day-to-day transactions in MLB and oversees all player-related acquisition, retention, and economic systems. Summer interns in the League Economics & Operations Department will have the opportunity to work on projects related to the following areas:

  • The MLB draft
  • Salary arbitration
  • Major League transactions
  • The trade deadline
  • The international amateur signing system
  • Club payrolls
  • Major League player contracts
  • Minor League player contracts
  • Medical studies
  • Pace-of-play
  • Bat regulations and on-field equipment
  • On-field technology
  • Various other ad hoc projects and strategic initiatives

All candidates must currently be enrolled at a four-year university/college or have graduated within the most recent calendar year. Well-qualified candidates are:

  • Passionate about baseball & sports
  • Detail-oriented
  • Highly proficient with the Microsoft Office suite – especially Excel
  • Comfortable with large data sets and various statistical concepts
  • Knowledgeable about current MLB events – both on and off the field

To Apply:
To apply for this internship, please complete the application that can be found here.

The content in this posting was created and provided solely by Major League Baseball.


Job Posting: Mets Dominican Republic Academy Integration Analyst

Position: Integration Analyst, Dominican Republic Academy

Location: Dominican Republic

Summary:

The New York Mets are seeking an analyst to integrate data from new technology into the operation of the International Scouting & Player Development departments. This individual will work closely with scouts and coaches at the New York Mets Academy in the Dominican Republic in order to optimize the integration of this data into the day-to-day operations of each department.

Essential Duties & Responsibilities:

  • Collaborate with scouts, coaches, strength and conditioning staff, research and development staff, and front office to implement and improve scouting/player development initiatives at the Mets Dominican Academy
  • Implement new systems and technologies alongside scouting/player development staff
  • Develop/apply new tools for player improvement, and implement those alongside the coaching staff
  • Create targeted development plans for each player alongside coaches, strength and conditioning staff, research and development staff, and front office
  • Research and suggest new ideas to scouts, coaches, strength and conditioning staff, research and development staff, and front office to improve the scouting/development operation in the Dominican Republic

Requirements:

  • Interest and desire to improve a Major League club in its scouting/player development operation
  • Ability to communicate with staff across the organization
  • Disposition and ability to teach scouts/coaches about new technologies and initiatives
  • Flexibility to travel
  • Mindset/desire to learn
  • Fluency in Spanish
  • Preferred experience with SQL and R

To Apply:
To apply, please complete the application that can be found here.

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


How They Were Acquired: The Houston Astros’ ALCS Roster

In a rematch of the 2017 ALCS, which they won in seven games, the Astros will face off against a Yankees team that now has much more firepower in the lineup –Edwin Encarnacion, DJ LeMahieu, Giancarlo Stanton, Gleyber Torres and Gio Urshela weren’t on the 2017 team— and another frontline starting pitcher in James Paxton. Of course, the Astros have added some big names of their own. Yordan Alvarez, Michael Brantley, Gerrit Cole and Zack Greinke are the team’s most notable players without a 2017 World Series ring.

Kyle Tucker is in the Game 1 starting lineup, with Josh Reddick on the bench. Brad Peacock and Bryan Abreu have been added to the roster with Wade Miley and Myles Straw left off for this round.

Here’s how every member of the Astros’ 2019 ALCS roster was originally acquired. The team’s full RosterResource Depth Chart and Payroll pages are also available as a resource.

Homegrown (8)

Total WAR: 23.8 Read the rest of this entry »


How They Were Acquired: The New York Yankees’ ALCS Roster

While the Astros had to fight off the Rays in Game 5 on Thursday, the Yankees have been waiting around since Monday after finishing off a sweep of the Twins. This well-rested roster also gets back center fielder Aaron Hicks, who has been on the Injured List since early August, and CC Sabathia, who will be available out of the bullpen after being left off of the Division Series roster. Luke Voit and Tyler Wade are the odd men out.

Here’s how every member of the Yankees’ 2019 ALCS roster was originally acquired. The team’s full RosterResource Depth Chart and Payroll pages are also available as a resource.

Homegrown (5)

Total WAR: 11.9 Read the rest of this entry »


How They Were Acquired: The St. Louis Cardinals’ NLCS Roster

The last time the Cardinals were in the NLCS five years ago, they were only a minor roadblock for Madison Bumgarner and the San Francisco Giants. On his way to a World Series MVP, Bumgarner pitched 15.2 of 45 innings in the series, which the Giants won in five games. The Cardinals, who will stick with the same 25-man roster that defeated the Braves in five games, could have as difficult a challenge, if not more, with Max Scherzer and Stephen Strasburg possibly in line for 20-30 innings of work during the upcoming series.

Here’s how every member of the Cardinals’ 2019 NLCS roster was originally acquired. The team’s full RosterResource Depth Chart and Payroll pages are also available as a resource.

Homegrown (12)

Total WAR: 23.0 Read the rest of this entry »


How They Were Acquired: The Washington Nationals’ NLCS Roster

After four division series losses in seven years, the Nationals finally advanced to the championship series with a dramatic Game 5 win over the Dodgers on Wednesday. They’ll face off against the Cardinals with mostly the same roster, although they’ll be without closer Daniel Hudson for at least one game — he has been placed on the paternity list — while Victor Robles and Kurt Suzuki are active but out of the Game 1 starting lineup due to injuries. Roenis Elias, who hasn’t pitched since September 5 due to a hamstring injury, and Javy Guerra have been added to the roster. Hunter Strickland did not make the cut.

Here’s how every member of the Nationals’ 2019 NLCS roster was originally acquired. The team’s full RosterResource Depth Chart and Payroll pages are also available as a resource.

Homegrown (8)

Total WAR: 22.6 Read the rest of this entry »


Job Postings: Dodgers Quantitative Analyst and Quantitative Analysis Intern

Please note this posting contains multiple positions.

Position: Quantitative Analyst

Department: Baseball Research & Development
Status: Full-Time
Reports to: Director, Quantitative Analysis
Deadline: November 8, 2019

Description:
The Baseball Analytics team of the Los Angeles Dodgers is responsible for developing novel statistical methodology to support decision-making throughout Dodgers baseball operations. They are seeking to hire a Quantitative Analyst to join the team. As a member of the team, you will collaborate with experts (from statistics, computer science, biomechanics and other disciplines) who will challenge you to bring scientific rigor to your research. This position offers the opportunity to solve challenging problems in data science and ultimately see the impact of your work on the field.

Job Functions:

  • Develop and implement novel mathematical models to answer research questions in player evaluation, player development and in-game strategy
  • Productionize and maintain data science projects relied upon by the rest of the organization to support their decision-making processes
  • Collaborate with team members to provide technical advice, learn from their expertise and integrate data science projects with each other
  • Perform ad hoc data analyses to answer urgent questions from front office leadership and other groups within baseball operations
  • Prepare presentations and reports to disseminate model results to the front office, as well as staff from coaching, scouting and player development
  • Assist with and manage personnel-related manners, such as reviewing resumes, interviewing candidates and overseeing intern projects

Basic Requirements/Qualifications:

  • Bachelor’s degree in statistics, computer science, mathematics or any other STEM field related to data science
  • Proficiency in R or Python
  • Understanding of Git version control for code development
  • Ability to communicative effectively in speech and in writing on a technical and nontechnical level
  • Experience applying one or more of the following modeling techniques (or similarly specialized techniques) to real-world data preferred:
    • Advanced statistical models such as generalized linear mixed models (GLMMs), spatial or time series models, or Bayesian hierarchical models
    • Topics in machine learning (e.g. ensemble methods), artificial intelligence (e.g. reinforcement learning) or computer vision (e.g. pose estimation)
    • Techniques from operations research such as optimization or simulation
  • Experience with advanced data visualization libraries such as D3 or plotly preferred
  • Experience maintaining a well-organized, well-documented code repository for productionizing a data science project preferred

To Apply:
To apply, visit https://www.mlb.com/dodgers/team/jobs.

Position: Quantitative Analysis Intern

Department: Baseball Research & Development
Status: Part-Time
Reports to: Director, Quantitative Analysis
Deadline: November 8, 2019

Description:
The Baseball Analytics team of the Los Angeles Dodgers is responsible for developing novel statistical methodology to support decision-making throughout Dodgers baseball operations. They are seeking to hire a summer intern to join the team. The primary goal of our internship program is to identify and develop talented individuals who may be interested in joining the team full-time in the future.

Job Functions:

  • Collaborate with the team to select one quantitative research project, and take that project from start to finish during the 12 weeks of the internship
  • Meet front office staff, coaches, and scouts; and get exposure to various aspects of baseball operations

Basic Requirements/Qualifications:

  • Pursing a degree in statistics, computer science, mathematics or any other STEM field related to data science
  • Experience with R or Python
  • Ability to communicative effectively in speech and in writing on a technical and nontechnical level
  • Experience with advanced statistical models such as generalized linear mixed models (GLMMs), spatial or time series models, or Bayesian hierarchical models preferred
  • Experience with machine learning (e.g. ensemble methods), artificial intelligence (e.g. reinforcement learning) or computer vision (e.g. pose estimation) preferred
  • Experience with operations research topics such as optimization or simulation preferred
  • Experience with advanced data visualization libraries such as D3 or plotly preferred
  • Experience maintaining a well-organized, well-documented code repository for productionizing a data science project preferred

To Apply:
To apply, visit https://www.mlb.com/dodgers/team/jobs.

The content in this posting was created and provided solely by the Los Angeles Dodgers.