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Baseball Data Science Jobs in Washington, DC (NOW HIRING)

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Software Engineer

Annapolis, MD · On-site

$150K - $190K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Software Engineer - Platform

Laurel, MD · On-site

$115K - $160K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Software Engineer

Columbia, MD · On-site

$115K - $160K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Software Engineer - Platform

Laurel, MD · On-site

$115K - $160K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Software Engineer - Platform

Laurel, MD · On-site

$115K - $160K/yr

... Database Administration, Data Science and Knowledge Management, Enterprise Risk Management ... Join a company that feels like a family with regular happy hours, baseball games, activity clubs ...

Showing results 41-60

Baseball Data Science information

See Washington, DC salary details

$47K

$161.3K

$227.7K

How much do baseball data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for baseball data science in Washington, DC is $161,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,200.00 and $188,600.00 per year, depending on experience, location, and employer.

What is baseball data science?

Baseball data science is the application of statistical analysis, machine learning, and data management techniques to baseball data to gain insights, improve player performance, and inform team strategies. Data scientists in baseball analyze large datasets such as player statistics, pitch tracking, and game outcomes to uncover patterns and make predictions. Their work supports coaching decisions, scouting, player health monitoring, and front office operations. Baseball data science has become increasingly important with the rise of advanced metrics and technologies like Statcast.

How do baseball data scientists collaborate with coaches and players to translate analytics into on-field improvements?

Baseball data scientists often work closely with coaches and players by presenting data-driven insights in accessible ways, such as visualizations or concise reports. They help translate complex analytics into actionable strategies, like adjusting swing mechanics or defensive positioning. Regular meetings and open communication are key, as data scientists must ensure their recommendations align with team goals and player capabilities. This collaborative approach not only bridges the gap between data and performance but also fosters a culture of continuous improvement.

What are the key skills and qualifications needed to thrive as a baseball data scientist, and why are they important?

To thrive as a Baseball Data Scientist, you need a strong background in statistics, data analysis, and computer science, often supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, experience with SQL databases, and proficiency in data visualization tools are typically required. Strong communication, problem-solving abilities, and a passion for baseball analytics make candidates stand out. These skills are crucial for extracting actionable insights from complex data, supporting decision-making, and driving competitive advantage in baseball operations.

What is the difference between Baseball Data Science vs Baseball Analytics?

AspectBaseball Data ScienceBaseball Analytics
Required CredentialsDegree in Data Science, Statistics, or related fieldDegree in Sports Management, Analytics, or related field
Work EnvironmentData-driven teams, sports organizations, research labsTeam analysis departments, sports teams, consulting firms
Employer & Industry UsageMajor league teams, sports analytics companies, research institutionsMajor league teams, sports media, consulting firms

Baseball Data Science focuses on advanced statistical modeling, machine learning, and data engineering to uncover insights from complex datasets. Baseball Analytics often emphasizes performance metrics, game strategy, and player evaluation using statistical tools. While both roles overlap, Data Science tends to involve more technical data manipulation, whereas Analytics centers on applying insights to game strategies and player decisions.

What are the most commonly searched types of Baseball Data Science jobs in Washington, DC?

The most popular types of Baseball Data Science jobs in Washington, DC are:

What job categories do people searching Baseball Data Science jobs in Washington, DC look for?

The top searched job categories for Baseball Data Science jobs in Washington, DC are:

Infographic showing various Baseball Data Science job openings in Washington, DC as of June 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $161,350 per year, or $77.6 per hour.

$115K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


Job description

Active Top Secret (TS/SCI) clearance with polygraph is required.

Visionist has an exciting new, fully FUNDED opportunity for a Software Engineer on our largest PRIME contract. Our team of Analysts and Engineers is motivated by the direct impact on the mission, crafting specialized tools for enhanced efficiency and quick iterations for our operations user base. Seeing your tools in real-time action brings immediate gratification. This premier program encompasses traditional software services including Systems Design and Engineering, Database Administration, Data Science and Knowledge Management, Enterprise Risk Management, Integration and Test, as well as Operations and Systems Support. The program is characterized by innovation and excitement, fostering meaningful engagements, and offering distinctive collaboration opportunities with users, policy makers, and mission leadership, all while maintaining a service mindset. If you thrive in a collaborative work environment and enjoy utilizing a diverse tech stack, then this opportunity is tailor-made for you!

For over 15 years, Visionist has been solving the Intelligence Community's toughest software and analysis challenges. As a 100% employee-owned company, we prioritize our people-your job security is assured. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation's cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. Our open-door leadership team fosters a supportive culture, where internal growth and promotion opportunities are the norm. Don't just take our word for it-check out our 4.8-star review on Glassdoor. Join a company that feels like a family with regular happy hours, baseball games, activity clubs and more. Check us out at www.visionistinc.com.

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Your contributions are...
- Develop agentic integrations with Python that leverage multiple AI models, APIs, and data sources in production
- Build tools and agentic workflows within modern frameworks like PydanticAI, Langgraph, and DeepAgents
- Work directly with key stakeholders and cyber analysts to understand operational workflows and identify high-impact automation opportunities
- Design and implement real-time analytics pipelines in Python leveraging Apache Kafka for stream processing and Elasticsearch for indexing and querying
- Maintain and troubleshoot a production grade agentic platform


Requirements for your new career...
- Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)
- 3 years of experience in software development with strong Python proficiency
- Hands on experience building and maintaining production applications servicing hundreds to thousands of users
- Experience developing resilient, scalable stream processing applications using modern messaging and event-streaming platforms
- Experience leveraging AI coding assistants for code generation, refactoring, debugging, and automation
- Understanding of AI development concepts, including prompt engineering, context management, structured outputs, and tool/function calling

Benefits of becoming a Visionist: Your New Career
- We are a 100% employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!
- Competitive 15% retirement contribution! (5% 401K match & 10% ESOP)
- 4 weeks paid time off that is never "use or lose", 12 paid holidays, comp time, overtime, AND flexible work hours
- 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
- Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
- Annual lifestyle bonus of $600 - use it towards gyms/fitness, new tech, or your HSA!
- Annual merit increases & performance-based bonuses
- Term life insurance, short-term disability, & long-term disability

Salary range: $115,000 - $160,000
Disclaimer: Salary for this position, along with additional compensation options, will be determined on an individual basis following the interview process, considering various factors such as years of experience, skills, education/certifications, contract specifications, market conditions, etc.

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Not a good fit? Check out our other opportunities: Visionist Careers

Next steps: Apply online and one of our recruiters will reach out to you. We have a streamlined process of phone screen with a recruiter, interview with a Visionist team at our HQ in Columbia, MD, and that is all!

Interested in learning more about Visionist and the work we do? Check out our website! https://www.visionistinc.com/what-we-do

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U.S citizenship required (green card holders and permanent residents are not eligible). Applicants selected will be required to obtain / maintain a government security clearance.

Visionist, Inc. is an Equal Opportunity / Protected Veterans / Individuals with Disabilities employer.