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Nba Data Science Jobs (NOW HIRING)

Net2Source (N2S)

Data Scientist

... Best Action (NBA) solutions to optimize HCP engagement strategies across channels to various ... Data Science, Computer Science, Statistics, Operations Research, Mathematics or a related ...

New

2K

Director, Insights, NBA

Novato, CA · Hybrid

$176K - $261K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers ... What We Need The Director of NBA Insights provides strategic leadership and vision for the NBA 2K ...

AEG

Data Science Manager - Market Origination

Atlanta, GA · On-site

$160K - $190K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... Lead and grow a high-performing team of data scientists and analysts focused on market creation and ...

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 ...

AEG

Data Science Manager - Sports Pricing

Atlanta, GA · On-site

$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 ...

2K

Director, Insights, NBA

Novato, CA · On-site

$176K - $261K/yr

Our team of engineers, marketers, artists, writers, data scientists, producers, thinkers and doers ... What We Need The Director of NBA Insights provides strategic leadership and vision for the NBA 2K ...

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How much do nba data science jobs pay per year?

As of Jun 6, 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:
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NBA Data Science jobs near you
Infographic showing various Nba Data Science job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $109,108 per year, or $52.5 per hour.
Senior Data Scientist (Pharma / Healthcare)

Senior Data Scientist (Pharma / Healthcare)

Dawar Consulting, Inc.

Santa Monica, CA • Remote

$100 - $109/hr

Full-time

Medical, Dental, Vision, Retirement

Posted yesterday

Job description

This is a remote position.

Our client, a world leader in biotechnology and life sciences, is seeking a "Senior Data Scientist / Architect (Fully Remote)".

Duration: Long-Term Contract (Possibility Of Further Extension)

Pay Rate: $95-$102/hr on W2 (DOE)

Company Benefits: Medical, Dental, Vision, Paid Sick Leave, 401K

Job Summary:

This role focuses on building data science and AI-driven solutions, including predictive patient event modeling, Next Best Action (NBA) engines for HCP engagement, and GenAI-powered decision agents to enhance commercial effectiveness.

The ideal candidate will combine strong machine learning expertise with experience in GenAI agent development and scalable ML pipelines, enabling actionable insights for stakeholders across GDDI, Sales, Marketing, Sales Analytics, and Advanced Analytics functions.

Responsibilities

  • Build predictive models for patient events and HCP engagement
  • Scale Next Best Action (NBA) solutions across brands and channels
  • Develop GenAI agents, RAG workflows, and AI-powered decision tools
  • Build and maintain end‑to‑end ML pipelines (Databricks, AWS/Azure ML)
  • Apply MLOps best practices: model versioning, monitoring, CI/CD
  • Work with healthcare datasets (claims, EHR, CRM, digital engagement)
  • Partner with Sales, Marketing, and Analytics to deliver insights

Required Skills / Qualification

  • Master’s or PhD in a quantitative field
  • 5–7+ years in data science/ML (pharma commercial preferred)
  • Strong Python, SQL, ML modeling, NLP
  • Experience with LLMs, GenAI frameworks, LangChain/AutoGen
  • Hands‑on with Databricks, AWS/Azure ML, MLOps

If interested, please share your updated resume at hr@dawarconsulting.com/lakshmi@dawarconsulting.com