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Gaming Data Scientist Jobs (NOW HIRING)

Kochava

Data Scientist

Sandpoint, ID · On-site

We are looking for a talented and driven Data Scientist to join our team. In this role, you will be ... Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression systems area. You'll apply mixed methods to own the end-to-end life cycle of creating data assets ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

... Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans ... Role Summary As a Data Scientist, you will support the development of analytical models ...

Epic Games

Senior Data Scientist

Cary, NC · On-site

Whether it's building award-winning games or crafting engine technology that enables others to make ... The Senior Data Scientist will work in a cross-functional team environment under the direction of ...

Publicis Groupe Holdings B.V

Data Scientist

Plano, TX · On-site

Overview The Data Science team uses data-driven insights and recommendations to fuel strategic ... on game-changing and measurable business impact. We work in close collaboration with colleagues ...

Radiance Technologies, Inc.

Data Scientist

Bath, OH · On-site

$110 - $170/hr

Utilize advanced data science methods to analyze and exploit GEOINT data and other sources of ... We are singularly focused on providing our customers with game-changing solutions to their most ...

Bridge Tech

Data Scientist Opportunity

Boston, MA · On-site

The Data Science team is responsible for managing all data analytics, reporting and algorithmic ... utility theory, game theory a plus Additional Information All your information will be kept ...

Bridge Tech

Data Scientist Opportunity

Boston, MA · On-site

The data science team is an integral part of every function in the life cycle of the company to ... utility theory, game theory a plus Additional Information All your information will be kept ...

FanDuel

Data Scientist, Experimentation

Manhattan, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for ... THE GAME PLAN Everyone on our team has a part to play * Partner with commercial marketing teams to ...

FanDuel

Data Scientist, Experimentation

New York, NY · On-site

The Data Scientist will partner with retention marketing stakeholders and will be responsible for ... THE GAME PLAN Everyone on our team has a part to play * Partner with commercial marketing teams to ...

FanDuel

Data Scientist, Experimentation

New York, NY

The Data Scientist will partner with retention marketing stakeholders and will be responsible for ... THE GAME PLAN Everyone on our team has a part to play * Partner with commercial marketing teams to ...

Vast

PR · On-site

$95K - $165K/yr

S. and Puerto Rico, with deep roots in route gaming and other multi-location businesses. We work ... data science, analytics engineering, or quantitative analysis with real operational impact.

New

Warner Records

Data Scientist

New York, NY

... game-changing creatives and passionate team members. Here, we turn dreams into stardom and ... The role involves the Data Scientist partnering with various departments across Warner Music ...

Tensec

Sr. Data Scientist

Seattle, WA · On-site

$100 - $130/hr

We believe analytics will be a game-changer in the industries we operate in, and we are seeking a Data Scientist to help build and scale our data science and software engineering capabilities. At the ...

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All JobsGaming Data Scientist Jobs

Gaming Data Scientist information

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$165K

$243.5K

How much do gaming data scientist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for gaming data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a gaming data scientist?

A Gaming Data Scientist analyzes player behavior, game performance, and monetization data to improve user experience and business outcomes. They use statistical models, machine learning, and A/B testing to optimize game mechanics, retention, and revenue. Their work helps developers make data-driven decisions, enhancing engagement and player satisfaction.

What skills and qualifications are needed to be a gaming data scientist?

To thrive as a Gaming Data Scientist, you need a strong background in statistics, machine learning, and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with programming languages like Python or R, experience with game analytics platforms, and familiarity with data visualization tools such as Tableau are highly valued. Strong problem-solving abilities, creativity, and effective communication skills help you collaborate across disciplines and present insights clearly. These skills enable you to turn player data into actionable recommendations, driving game improvements and enhancing player engagement.

What are common challenges gaming data scientists face in their daily work?

Gaming Data Scientists often encounter challenges like interpreting large, complex datasets to identify meaningful player behaviors, addressing data quality issues, and balancing quantitative analysis with a deep understanding of player experience. Staying up to date with evolving game mechanics and rapidly changing player trends also requires continuous learning. Additionally, collaborating with game designers, engineers, and product managers means translating technical findings into actionable, user-friendly insights. Overcoming these challenges is key to making data-driven decisions that impact game design and player satisfaction.

More about Gaming Data Scientist jobs
What cities are hiring for Gaming Data Scientist jobs? Cities with the most Gaming Data Scientist job openings:
What states have the most Gaming Data Scientist jobs? States with the most job openings for Gaming Data Scientist jobs include:
What job categories do people searching Gaming Data Scientist jobs look for? The top searched job categories for Gaming Data Scientist jobs are:
Gaming Data Scientist jobs near you
Infographic showing various Gaming Data Scientist job openings in the United States as of August 2026, with employment types broken down into 82% Full Time, 14% Part Time, and 4% Temporary. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Kochava

Sandpoint, ID • On-site

Full-time

Re-posted 19 hours ago

Job description

Kochava provides a unified platform with solutions for advertisers and publishers across the omni-channel advertising ecosystem to link media investments to outcomes.
Kochava is an industry leader in the advertising ecosystem, providing tools and technologies for leading brands, agencies, and premium publishers for measurement and attribution, media mix modeling (MMM), and search ads optimization.
We enable the visibility into and management of trillions of data points, hundreds of millions of users, and billions of dollars in lifetime value (LTV) and paid ad spend. Our suite of solutions are used as a growth stack for leading brands and publishers - empowering them to see and manage their data and unleash the power of their connected audiences.
We are looking for a talented and driven Data Scientist to join our team. In this role, you will be a significant and autonomous contributor, delivering end-to-end machine learning solutions and major analytical initiatives that directly drive business value. You will work across model development, experimental design, and data workflows - solving difficult data science problems with pragmatic, scalable solutions that make a real difference to the business.
Role Location: Sandpoint, Idaho
Job Responsibilities
  • Design, build, and deploy production-grade machine learning models and analytical solutions that are robust, scalable, and maintainable by other data scientists.
  • Apply a broad range of statistical methods and ML algorithms, using sound judgment on when - and when not - to use them.
  • Write highly performant, well-documented, and reproducible code in Python and SQL.
  • Collaborate with product managers, business stakeholders, and engineering teams to clarify requirements, scope analytical work, and deliver on project milestones.
  • Make thoughtful trade-offs between model performance and interpretability, complexity and simplicity, and computational cost and accuracy.
  • Identify and resolve data quality issues and analytical gaps; drive improvements to data science workflows and model reliability.
  • Actively contribute to model reviews, experimental design discussions, team planning, and post-deployment performance evaluations.
  • Work to find and address root causes of model performance issues, leaving systems better than you found them.
  • Contribute to on-call support and take ownership of issues, driving resolutions or ensuring clear handoffs.
  • Automate manual reporting tasks and contribute to operational excellence across the team.
  • Mentor junior data scientists and actively participate in the hiring and interview process.

Experience/Skills Required
  • 3+ years of hands-on Data Science experience. A formal degree is not required if you have equivalent knowledge gained from experience.
  • Strong proficiency in Python for statistical programming and machine learning development.
  • Expertise writing high-performance SQL queries and working with large-scale datasets.
  • Solid understanding of a broad range of statistical methods and machine learning algorithms.
  • Demonstrated ability to independently deliver end-to-end model development - from problem definition through production deployment.
  • Ability to build solutions that are pragmatic, consider business constraints, and can be maintained and extended by others.
  • Experience working with data visualization tools and communicating analytical findings clearly to non-technical stakeholders.
  • Strong sense of ownership - you document your work thoroughly, validate it rigorously, and ensure quality at every step.
  • Collaborative mindset with the ability to work across teams, balance competing requirements, and influence peers constructively.

Bonus
  • Experience with MLOps practices, model monitoring, or automated reporting pipelines.
  • Familiarity with experimental design and A/B testing frameworks.
  • Track record of improving team workflows, data documentation practices, or analytical infrastructure.
  • Experience mentoring junior data scientists or contributing to onboarding and training programs.
  • Experience classifying, storing, and handling data in accordance with data governance policies.
  • Experience with distributed computing and big data technologies such as Apache Spark.
  • Experience with data visualization tools such as Tableau.
  • Experience working with cloud data warehouses such as Amazon Redshift or Google BigQuery.
  • Experience working with high volume and high velocity data in a distributed environment.

Kochava began in 2011 when a team of mobile and gaming professionals saw the need to better understand the feedback loop of user acquisition, engagement, and LTV for mobile applications. Through the process of creating apps for customers from a wide range of industries, we were repeatedly asked if we could shed some light on what media advertising efforts were converting and the effectiveness of their mobile ad spend by partner. Realizing a solution to these questions wasn't readily available, we started designing and building a mobile measurement platform that would become Kochava.
Kochava is an equal opportunity employer committed to building a team culture that celebrates diversity and inclusion.
Please be advised that Kochava will never ask candidates to pay any fees or provide sensitive financial information at any point during the recruitment or onboarding process. We do not charge fees for applications, interviews, training, equipment, or background checks.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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