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Entertainment Data Scientist Jobs (NOW HIRING)

Microsoft

Principal Data Scientist

Redmond, WA · On-site

... information, entertainment, shopping, and productivity through intelligent, personalized ... We are seeking an experienced Principal Business Analytics Data Scientist with solid business ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports ... We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets.

MrBeast

Data Scientist

San Francisco, CA · On-site

About Us Beast Industries is a multifaceted media and entertainment company founded by Jimmy ... Analytical Builder: 2+ years of hands-on experience in data science or analytics, with strong SQL ...

AEG

Data Scientist

San Francisco, CA · On-site

$165K/yr

Come share your expertise while learning more about this growing sports and entertainment ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports ... We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets.

NBCUniversal

Senior Data Scientist

Manhattan, NY · On-site

$120K - $150K/yr

We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports ... We are seeking a Senior Data Scientist with experience manipulating large 2D and 3D media datasets.

Aristocrat

Data Scientist - Aristocrat

Las Vegas, NV · On-site

Join Aristocrat, a leader in the entertainment and gaming industry, as an Advanced Insights Data Scientist. Our mission is to build world-class gaming experiences that captivate and entertain ...

MrBeast

Senior Data Scientist

San Mateo, CA · On-site

$209K - $239K/yr

About Us Beast Industries is a multifaceted media and entertainment company founded by Jimmy ... Senior Data Scientist The Opportunity We're doing an AI-first engineering rebuild for a company ...

Far Coder

Data Scientist

Seattle, WA · On-site

$140K - $165K/yr

# Remote Data Scientist Job at NexUSA5 hours agoFull TimeUSA$140000 - $165000 ... Parents' Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 ...

Far Coder

$140K - $165K/yr

# Remote Data Scientist Job at NexUSA5 hours agoFull TimeUSA$140000 - $165000 ... Parents' Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 ...

Twitch

Data Scientist

San Francisco, CA · On-site

... around gaming, entertainment, music, sports, cooking, and more. It is where thousands of ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

Prime Video is an industry-leading entertainment business and a critical driver of Amazon Prime subscriptions, contributing to customer loyalty and lifetime value. We're looking for a Data Scientist ...

Amazon

Data Scientist, Prime Video Science

Seattle, WA · On-site

Prime Video is an industry-leading entertainment business and a critical driver of Amazon Prime subscriptions, contributing to customer loyalty and lifetime value. We're looking for a Data Scientist ...

Twitch

Data Scientist

Seattle, WA · On-site

... around gaming, entertainment, music, sports, cooking, and more. It is where thousands of ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

Twitch

Data Scientist

New York, NY · On-site

... around gaming, entertainment, music, sports, cooking, and more. It is where thousands of ... as a data scientist, applied scientist, economist, or related field; OR a PhD in Economics ...

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Entertainment Data Scientist information

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$165K

$243.5K

How much do entertainment data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entertainment 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 an entertainment data scientist?

Entertainment Data Scientists are professionals who use data analysis, machine learning, and statistical modeling to help entertainment companies make better decisions. They analyze large datasets related to audience preferences, content performance, marketing campaigns, and revenue streams to uncover trends and insights. Their work supports movie studios, streaming services, music labels, and gaming companies in areas like content recommendation, audience segmentation, and predicting box office success. By translating data into actionable strategies, they help drive audience engagement and business growth in the entertainment industry.

How does an entertainment data scientist typically collaborate with creative and production teams?

Entertainment Data Scientists frequently work closely with creative, production, and marketing teams to translate data insights into actionable recommendations. This collaboration involves presenting complex analytics in an accessible way, helping decision-makers understand audience preferences, content performance, and market trends. By participating in cross-functional meetings and brainstorming sessions, data scientists ensure that analytical findings are integrated into content development, release strategies, and audience engagement plans. Effective communication and a collaborative mindset are essential, as you’ll bridge the gap between technical data analysis and creative decision-making.

What are the key skills and qualifications needed to thrive as an entertainment data scientist, and why are they important?

To thrive as an Entertainment Data Scientist, you need strong analytical skills, expertise in statistics, and a background in computer science or mathematics, often supported by a relevant degree. Familiarity with programming languages like Python or R, experience with big data tools (such as SQL, Hadoop, or Spark), and knowledge of data visualization platforms are commonly required. Outstanding problem-solving abilities, creativity, and effective communication skills help you translate complex data into actionable insights for creative and business teams. These skills are crucial for driving audience engagement, optimizing content strategies, and supporting data-driven decision-making in the fast-evolving entertainment industry.

What is the difference between Entertainment Data Scientist vs Data Analyst?

AspectEntertainment Data ScientistData Analyst
Required SkillsAdvanced statistical analysis, machine learning, programming (Python, R)Data cleaning, basic analysis, reporting
Work EnvironmentMedia companies, entertainment studios, streaming servicesVarious industries including marketing, finance, healthcare
Employer & Industry UsagePrimarily in entertainment and media sectorsAcross multiple sectors including entertainment

Entertainment Data Scientists focus on complex modeling and predictive analytics to inform content creation and audience engagement, while Data Analysts handle data interpretation and reporting. Both roles require strong analytical skills, but the Entertainment Data Scientist role involves more advanced techniques and programming, often within entertainment companies.

What are popular job titles related to Entertainment Data Scientist jobs?

For Entertainment Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Entertainment Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Principal Data Scientist

Redmond, WA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

Full-time

Re-posted 3 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

Job description

Overview
Microsoft AI (MAI) is building the next generation of AI-powered consumer experiences across Microsoft products, connecting people to information, entertainment, shopping, and productivity through intelligent, personalized experiences. MSN and Copilot Discover are at the center of this vision, helping millions of users discover relevant content, stay informed, and engage with the web in meaningful ways.
The MSN & Copilot Discover Business Analytics team serves as a horizontal analytics team supporting multiple product, engineering, marketplace, monetization, and business teams across the ecosystem. We are responsible for driving business insights, forecasting, strategic planning, experimentation, monetization analytics, and decision-making frameworks that influence product investments and business outcomes at scale.
We are seeking an experienced Principal Business Analytics Data Scientist with solid business acumen, deep analytical expertise, and experience in content platforms, digital advertising, and monetization. This role offers a unique opportunity to work at the intersection of user engagement, AI-powered content discovery, and revenue optimization while partnering closely with product teams, MAI Marketplace, Monetization, Finance, and Engineering organizations.
The ideal candidate combines rigorous analytical thinking with a solid understanding of content ecosystems, advertising marketplaces, user engagement, forecasting, experimentation, and business strategy. They are comfortable navigating ambiguity, influencing senior stakeholders, and translating complex data into actionable business decisions.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting August 17, 2026, Microsoft Advertising employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least 3 days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Serve as a trusted analytics partner to leadership and cross-functional teams, translating data into clear business recommendations.
  • Partner with Product, Engineering, MAI Marketplace, Monetization, Finance, and Business Planning teams to shape strategy and investment decisions.
  • Analyze user engagement, content consumption, marketplace dynamics, and revenue performance to identify growth opportunities and business risks.
  • Develop business frameworks that connect product initiatives, user behavior, content quality, and monetization outcomes.
  • Build forecasting and scenario-planning models for engagement, traffic, ad requests, and revenue.
  • Leverage AI and machine learning solutions to automate business insights, improve forecasting accuracy, enhance decision-making processes, and scale analytical capabilities across the organization.
  • Evaluate tradeoffs between user experience, engagement, and monetization to support long-term business growth.
  • Communicate insights clearly to senior stakeholders and influence decisions through data-driven storytelling.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • Experience in content ecosystems, news feeds, recommendation systems, search, shopping, or content discovery platforms.
  • Experience partnering with advertising, monetization, or marketplace organizations.
  • Familiarity with key engagement and monetization metrics such as sessions, time spent, retention, RPM, ad requests, inventory utilization, advertiser demand, and marketplace efficiency.
  • Experience leading analytics for large-scale consumer products with millions of users.
  • Demonstrated success influencing product strategy and business outcomes through data-driven insights.
  • Solid understanding of AI-powered consumer experiences and their impact on user engagement and monetization.
  • Experience managing cross-functional initiatives involving Product, Engineering, Monetization, Marketplace, and Finance stakeholders.

#MicrosoftAI #BusinessAnalytics #DataScientist #MAI #Copilot #Monitization
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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