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Nba Data Science Jobs (NOW HIRING)

Nba

Analytics Engineer, Media

New York, NY · On-site

$120K - $145K/yr

Lead the migration of historical viewership data from its current data repository to the NBA ... Work with DSA's Data Science team on data modeling efforts for the purposes of advanced analytics ...

Nba

Product Experience Analytics Lead

New York, NY · On-site +1

The NBA currently provides eligible employees the option of working remotely one day per week ... Collaborate with advanced insights and data science teams on predictive modeling, segmentation, and ...

Belk

Decision Scientist

Charlotte, NC

... NBA) models that determine the optimal marketing action across channel, promotion, and creative ... This role sits at the intersection of marketing strategy and data science, and requires an ability ...

New

PrizePicks

Data Science Manager - Sports Pricing

Atlanta, GA · On-site +1

$160K - $190K/yr

Oversee development and deployment of pricing models across major sports and esports (NBA, NFL, CS2 ... Strong technical foundation in data science, statistics, or software engineering. * Demonstrated ...

Belk

Decision Scientist

Charlotte, NC

... NBA) models that determine the optimal marketing action across channel, promotion, and creative ... This role sits at the intersection of marketing strategy and data science, and requires an ability ...

New

Nba

Senior GenAI Engineer

New York, NY · On-site +1

$60.50 - $78/hr

The NBA currently provides eligible employees the option of working remotely one day per week ... Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related ...

Takeda

Associate Director, Predictive Analytics

Cambridge, MA · On-site

$64K - $65K/yr

We are seeking a hands-on innovative seasoned Data Science professional for the Associate Director ... NBA), target prioritization dynamic targeting, and execution of AI/ML strategies to enable scalable ...

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NBA Data Science information

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$17K

$109.1K

$209.5K

How much do nba data science jobs pay per year?

As of Jul 21, 2026, the average yearly pay for nba data science in the United States is $109,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $155,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Nba Data Science position, and why are they important?

To thrive in NBA Data Science, you need strong analytical skills, expertise in statistics, programming proficiency (usually in Python or R), and a deep understanding of basketball data and metrics, typically supported by a degree in statistics, computer science, mathematics, or a related field. Familiarity with data visualization tools, SQL databases, and machine learning frameworks is highly valued, and additional certifications in data science or analytics are beneficial. Effective communication, teamwork, and problem-solving skills set standout candidates apart, as the role requires translating complex data insights for coaches, managers, and other non-technical stakeholders. These skills are essential to drive data-informed decision-making that can impact team strategy and player performance within a fast-paced NBA environment.

What are the typical responsibilities of an NBA Data Science professional on a daily basis?

As an NBA Data Science professional, your day-to-day work often involves cleaning and analyzing large datasets on player performance, in-game events, and scouting information. You will develop predictive models, create data visualizations, and interpret statistical results to support coaching staff and front-office decision-makers. Collaboration with coaches, video analysts, and other departments is common, as you will help translate data into actionable insights. Additionally, you'll stay up to date with the latest advancements in basketball analytics and may be asked to present findings in meetings or reports. The role is dynamic and impactful, offering opportunities to influence game strategy and long-term team development.

What is an NBA Data Science job?

An NBA Data Science job involves using statistical modeling, machine learning, and data analysis to evaluate player performance, optimize team strategies, and improve decision-making in basketball operations. Professionals in this role work with large datasets, including player tracking data, game statistics, and biomechanics, to extract actionable insights. They collaborate with coaches, front-office staff, and analysts to enhance scouting, game tactics, and player development. Strong programming skills in Python or R, along with expertise in data visualization and predictive modeling, are essential for success in this field.

More about NBA Data Science jobs
What cities are hiring for Nba Data Science jobs? Cities with the most Nba Data Science job openings:
What are the most commonly searched types of Nba Data Science jobs? The most popular types of Nba Data Science jobs are:
What states have the most Nba Data Science jobs? States with the most job openings for Nba Data Science jobs include:
What job categories do people searching Nba Data Science jobs look for? The top searched job categories for Nba Data Science jobs are:
NBA Data Science jobs near you
Infographic showing various Nba Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $109,108 per year, or $52.5 per hour.
Data Science Manager - Market Origination

Data Science Manager - Market Origination

PrizePicks

Remote

Full-time

Posted 12 days ago

Job description

Job Summary:
PrizePicks is the fastest-growing sports company in North America, recognized for its leading platform in Daily Fantasy Sports. The Data Science Manager will own line setting strategy, lead a team of data scientists, and oversee the development of projection models while collaborating cross-functionally to launch new markets.
Responsibilities:
• Own line setting strategy and projection accuracy for our fantasy markets, balancing coverage breadth and competitive line quality.
• Lead and grow a high-performing team of data scientists and analysts focused on market creation and prop origination.
• Oversee development and deployment of projection models and coverage expansion across major sports and esports (NBA, NFL, MLB, CS2, etc.).
• Partner cross-functionally with Product, Engineering, Pricing, and BizOps to launch new markets and expand coverage.
• Guide experimentation around line accuracy, prop selection, and coverage strategy to drive engagement and grow the market catalog.
• Maintain and evolve frameworks for projection accuracy, coverage quality, and market health monitoring.
• Ensure data integrity and modeling quality across all origination efforts.
Qualifications:
Required:
• 5+ years of experience in sports betting, fantasy, or related gaming industries, ideally with exposure to line setting, trading, or player performance modeling.
• Strong technical foundation in data science, statistics, or software engineering.
• Demonstrated management experience — leading, mentoring, and scaling high-output teams.
• Proficiency in SQL and Python or R; experience with predictive modeling, forecasting, and statistical techniques.
• Deep understanding of how player props and sports/esports markets are structured, originated, and modeled.
• Proven track record of driving complex projects from ideation through launch in a fast-paced environment.
• Strong communicator who thrives at the intersection of data, product, and operations.
Preferred:
• While we prefer candidates based in Atlanta, we are open to qualified applicants from anywhere in the U.S. and are willing to consider remote candidates.
Company:
PrizePicks is a mobile app platform that covers sports betting of leagues. Founded in 2015, the company is headquartered in Atlanta, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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