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Entertainment Data Scientist Jobs (NOW HIRING)

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

We serve more than a dozen industries including consumer electronics, entertainment, fashion, food ... NPD group is looking for a principal data scientist on both the engineering side and the analytics ...

Saxon Global

Data Scientist

Chesterbrook, PA · On-site

... care, Banking and Media Entertainment for their continued growth. Improve organizational ... Where appropriate help seed data science capabilities within business functions, essentially ...

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

We serve more than a dozen industries including consumer electronics, entertainment, fashion, food ... NPD group is looking for a principal data scientist on both the engineering side and the analytics ...

Creative Artists Agency

Creative Artists Agency (CAA) is the leading entertainment and sports agency, with global expertise ... The Data Scientist incorporates the latest developments in Data Science (statistical modeling ...

Kinsley Power Systems

NY · On-site

Data Scientist Who we are: Mediacom Communications Corporation is the 5th largest cable operator in ... edge entertainment, communications, and internet products. This year, we proudly launched our new ...

AllSTEM Connections

Data Scientist

Orlando, FL · On-site

$107K/yr

Senior Data Scientist (Operations Strategy & Advanced Analytics) Role Overview We are seeking a ... or entertainment) is preferred. • Attributes: • Superior conceptual thinking and creative ...

Customer Operations

Data Scientist

Stamford, CT · On-site +1

Get to Know Us Charter Communications provides superior communication and entertainment products ... Proficient using data science toolkits such as Python * Comprehensive SQL skills * Strong ...

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Entertainment Data Scientist information

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$46K

$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.

Data Scientist

Port Washington, NY • On-site

The NPD Group, Inc.
Marketing Research • 5 - 10K employees
Learn more about The NPD Group, Inc.external

Full-time

Re-posted 27 days ago

Job description

Company Description

The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes. 

Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more. 

We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning. 

Job Description

NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods. 

Overall Responsibilities:

  • Drive the creation of new data quality management capabilities that will bring significant operational efficiency.
  • Conceptualize, analyze and develop actionable recommendations best practices in data quality processes
  • Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality.
  • Manage data analysis to develop fact-based recommendations for innovation projects.
  • Work with cross-functional teams to develop ideas and execute business plans.
  • Remain current on new developments in data quality
Qualifications
  • 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine
  • Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies

  • Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages

  • Familiarity with Agile methodology

  • Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances

  • Broad understanding and experience of recommendation engine

  • Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence

  • Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred. 

Additional Information

*NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.

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