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Remote Nba Analytics Jobs (NOW HIRING)

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$220K - $280K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis ...

Social Media Manager, Editorial

Atlanta, GA · On-site +1

$70K - $95K/yr

... NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 ... S. and are willing to consider remote candidates. #LI-Remote Working at PrizePicks: The typical ...

... remote model. * #OneTeam - We enjoy spending time together at regular team and company events ... and performance analytics in sports. In sports, 80% of NBA teams rely on KINEXON technology ...

Our platform powers teams across the NBA, WNBA, and NWSL helping them boost ticket sales and ... We're a remote-first team driven by core values - begin and build with trust, play like the ...

Our platform powers teams across the NBA, WNBA, and NWSL helping them boost ticket sales and ... We're a remote-first team driven by core values - begin and build with trust, play like the ...

... NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize ... analysts turn objective data into valuable athlete insights. This will be a remote-based position ...

... NBA, NHL, MLS, EPL, AFL, NRL, NCAA and more. We provide the information they need to optimize ... analysts turn objective data into valuable athlete insights. This will be a remote-based position ...

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Remote Nba Analytics information

See salary details

$60.5K

$123.8K

$175K

How much do remote nba analytics jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote nba analytics in the United States is $123,849.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,000.00 and $153,500.00 per year, depending on experience, location, and employer.

How do Remote NBA Analytics professionals typically collaborate with coaching staff and front-office teams given the remote nature of the role?

Remote NBA Analytics professionals often use digital collaboration tools such as video conferencing, shared dashboards, and secure data repositories to communicate insights and analyses with coaching and front-office teams. Regular virtual meetings and real-time messaging platforms help ensure that analytics findings are integrated into strategic decisions and game preparation. Building strong relationships remotely requires proactive communication, clear data visualization, and adaptability to team needs, which are critical for influencing decisions and staying aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Remote NBA Analytics professional, and why are they important?

To thrive as a Remote NBA Analytics professional, you need a solid background in statistics, data analysis, and basketball knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Proficiency with analytics tools such as Python, R, SQL, and data visualization platforms like Tableau is essential, along with familiarity with basketball-specific data sources. Strong communication, problem-solving, and collaboration skills help translate complex data into actionable insights for coaches and executives. These skills are crucial for driving data-informed decision-making that can improve team performance and strategic planning.

What are remote NBA analytics jobs?

Remote NBA analytics jobs involve analyzing basketball data and statistics for the NBA from a location outside of a traditional office, often from home. Analysts use data tools and statistical models to evaluate player performance, game outcomes, and team strategies. These roles can include tasks such as building predictive models, visualizing basketball metrics, and supporting decision-making for teams or media outlets. Strong skills in data analysis, programming, and basketball knowledge are typically required. Working remotely allows analysts to collaborate with teams and organizations virtually while contributing valuable insights to the sport.
More about Remote Nba Analytics jobs
What cities are hiring for Remote Nba Analytics jobs? Cities with the most Remote Nba Analytics job openings:
What are the most commonly searched types of Nba Analytics jobs? The most popular types of Nba Analytics jobs are:
What states have the most Remote Nba Analytics jobs? States with the most job openings for Remote Nba Analytics jobs include:
Infographic showing various Remote Nba Analytics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,849 per year, or $59.5 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

PrizePicks

Atlanta, GA • On-site, Remote

$220K - $280K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 hours ago


Job description

hackajob is collaborating with PrizePicks to connect them with exceptional professionals for this role.

At PrizePicks, we are the fastest-growing sports company in North America, as recognized by Inc. 5000. As the leading platform for Daily Fantasy Sports, we cover a diverse range of sports leagues, including the NFL, NBA, and Esports titles like League of Legends and Counter-Strike. Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse backgrounds, regardless of their level of sports fandom. Ready to reimagine the DFS industry together? 

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize our core machine learning capabilities. Your work will directly impact key metrics like Time-to-Bet, Deposit Velocity, and Platform Integrity by integrating robust, low-latency ML models across our sports betting and daily fantasy ecosystems.

What you’ll do:

  • Architect Scalable ML Systems: Design and build the end-to-end machine learning infrastructure, transitioning experimental Data Science models into robust, high-availability production services.
  • Real-Time Inference at Scale: Steer the design and deployment of low-latency services to serve model inferences in milliseconds. You will power real-time decisions across the platform, from dynamic oddsmaking and risk analysis to smart deposit defaults.
  • Feature Engineering & Data Strategy: Partner with Data Science to build scalable logging and data pipelines. You will lead the creation and optimization of a centralized feature store required to train complex models across diverse business domains.
  • End-to-End MLOps Leadership: Champion best practices for model deployment, monitoring, and CI/CD for ML. You will implement automated retraining pipelines and observability tools to ensure data drift and model degradation are caught and addressed instantly.

What you have:

  • 7+ years of experience in Machine Learning Engineering or Backend Engineering, with a proven track record of deploying and maintaining complex ML models in high-traffic production environments.
  • 3+ years of technical leadership, acting as a lead and driving architecture decisions for consumer applications or scalable backend platforms.
  • Experience with Real-Time Data: Proficient in streaming architectures (Kafka/Flink/PubSub) and building low-latency services to serve model inference in <100ms.
  • MLOps Expertise: Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like MLFlow, Kubeflow, Databricks, or SageMaker.
  • Strong Coding Skills: Expert in Python and SQL; proficiency in Go, C++, or Rust is a strong plus for building high-performance inference layers.
  • Cloud Native: Deep experience with GCP services (BigQuery, Cloud Functions, GKE, Vertex AI) or AWS equivalents.

What makes you stand out:

  • Experience implementing reinforcement learning or complex probabilistic models for dynamic pricing, risk management, or fraud detection.
  • Background in Daily Fantasy Sports (DFS), oddsmaking, or high-frequency trading.
  • Experience building and scaling "Feature Stores" that successfully bridge batch historical data with real-time event streams.

Where you’ll live:

  • 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. #LI-Remote 

Working at PrizePicks:

The typical salary range for this position is $220,000 to $280,000. At PrizePicks, we consider your role, level, and where you'll be working when determining our salary ranges. The compensation info you see on our job postings gives you an idea of the starting pay range for the position. Your actual pay within that range will depend on your specific work location, as well as your skills, experience, and education. Your recruiter will be happy to chat more about the specific pay range for your location and how we arrived at it during the hiring process. 

This application period will remain open for 30 days. We’re committed to finding the best candidate, so this date may be adjusted, and any changes will be reflected in this posting.

Date Posted: 4/16/2026

Benefits you’ll receive:

In addition to your great compensation package, full-time employees will be eligible for the following perks: 

  • Company-subsidized medical, dental, & vision plans 
  • 401(k) plan with company match
  • Annual bonus
  • Flexible PTO to encourage a healthy work/life balance (2 weeks STRONGLY encouraged!)
  • Generous paid leave programs, including 16-week paid parental leave and disability benefits
  • Workplace flexibility and modern work schedules focused on getting the job done, not hours clocked
  • Company-wide in-person events and team outings
  • Lifestyle enhancement program
  • Company equipment provided (Windows & Mac options)
  • Annual performance reviews with opportunities for growth and career development

You must be authorized to work for any employer in the U.S.  We are unable to sponsor or take over sponsorship of an employment Visa at this time. 

PrizePicks is an Equal Opportunity Employer.  All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.