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Baseball Data Science Jobs in Washington (NOW HIRING)

Visionist, Inc.

Junior Software Engineer

Laurel, MD

$85K - $120K/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 ...

Visionist, Inc.

Junior Software Engineer

Columbia, MD

$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 ...

Visionist, Inc.

Software Engineer

Columbia, MD · On-site

$170K - $240K/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 ...

Visionist, Inc.

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 ...

New

Visionist, Inc.

Software Engineer

Columbia, MD

$170K - $240K/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 ...

Visionist, Inc.

Software Engineer

Annapolis Junction, MD

$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 ...

New

Visionist, Inc.

System Administrator

Annapolis, MD · On-site

$130K - $220K/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 ...

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Baseball Data Science information

How do baseball data scientists typically 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 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 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 to become an MLB data analyst?

To become an MLB data analyst, candidates typically need a strong background in statistics, data analysis, or computer science, often with a bachelor's degree in a related field. Proficiency in programming languages such as Python or R, experience with sports data, and knowledge of baseball metrics are important. Gaining experience through internships or projects and understanding baseball analytics tools like Statcast or TrackMan can improve job prospects.

How is data science used in baseball?

In baseball data science involves analyzing player and game data to improve team strategies, player performance, and scouting. Data scientists use statistical models, machine learning, and visualization tools to identify patterns and make data-driven decisions that enhance team success.

Do MLB teams hire data scientists?

MLB teams do hire data scientists to analyze player performance, game strategies, and team statistics. These professionals often use tools like R, Python, and SQL, and may work closely with sports analysts and coaches to inform decision-making.

How much do baseball data scientists make?

Baseball data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of the organization. Senior roles or those in major league organizations can earn higher salaries, often exceeding $150,000. Skills in statistics, programming, and sports analytics tools are important for this role.

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 are popular job titles related to Baseball Data Science jobs in Washington? For Baseball Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Baseball Data Science jobs in Washington look for? The top searched job categories for Baseball Data Science jobs in Washington are:
What cities in Washington are hiring for Baseball Data Science jobs? Cities in Washington with the most Baseball Data Science job openings:
Baseball Data Science jobs near you
Infographic showing various Baseball Data Science job openings in Washington as of July 2026, with employment types broken down into 61% Full Time, 32% Part Time, 5% Temporary, and 2% Contract. Highlights an 97% Physical, 2% Hybrid, and 1% Remote job distribution.
Software Engineer (AI Infrastructure)

Software Engineer (AI Infrastructure)

Visionist, Inc.

Laurel, MD

$115K - $160K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 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 (AI Infrastructure) 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 atwww.visionistinc.com.
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Your contributions are...
- Design, implement, and optimize infrastructure for AI model inference at scale
- Support the development and maintenance of production AI services and applications, including retrieval augmented generation (RAG), autonomous agents, and emerging technologies
- Define and implement solutions for ambiguous or underspecified systems and requirements
- Drive adoption of new technologies and practices across engineering teams
- Implement monitoring, logging, and observability solutions for AI services
- Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
- Ensure the availability, reliability, scalability, and performance of AI platform components
- Contribute to security best practices for AI systems and data
- Provide technical guidance and mentorship to junior engineers
Requirements for your new career...
- Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)
- 8 years of experience in software development
- Experience building and maintaining production systems at scale
- Experience with high-volume web application architectures and performance optimization
- Strong background in systems integration across diverse technologies and platforms
- Hands-on experience with cloud engineering in AWS
- Proficiency with Kubernetes administration and deployment patterns
- Strong Python programming skills
- Experience implementing observability solutions (APM, OpenTelemetry, Grafana, Prometheus)
- Familiarity with CI/CD pipelines and DevOps practices
- Strong organizational influence and change management skills
- Ability to thrive in ambiguous environments and create structure where needed
- Excellent communication and collaboration skills
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:https://jobs.jobvite.com/visionist
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.

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