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Entertainment Data Scientist Jobs (NOW HIRING)

Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in ... Sets direction for modeling approaches and mentors other data scientists on the team.

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 ...

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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 IV

Irvine, CA • On-site

Panasonic Avionics Corporation
Aerospace Product and Parts Manufacturing • 5 - 10K employees

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 hours ago


Key responsibilities

  • Lead analysis of complex, high-impact business problems using data from internal and external sources to provide insights for leadership decisions.

  • Build, own, and defend predictive, classification, forecasting, and recommendation models using Python, and interpret emerging trends and business opportunities from data.

  • Partner with Data Engineering and other stakeholders to translate modeling and analytics requirements into scalable data sources and support data infrastructure needs.


Panasonic Avionics rating

9.6

Company rating: 9.6 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

Overview

Ever wonder who brings the entertainment to your flights? Panasonic Avionics Corporation is #1 in the industry for delivering inflight products such as movies, games, Wi-Fi, and now Bluetooth headphone connectivity!

How exciting would it be to be a part of the innovation that goes into creating technology that delights millions of people in an industry that’s here to stay! With our company’s history spanning over 40 years, you will have stability, career growth opportunities, and will work with the brightest minds in the industry.

If you want to learn more about us, visit us at www.panasonic.aero. And for a full listing of open job opportunities go to https://careers.na.panasonic.com/avionics/jobs

The position

Leads analysis of complex, high-impact business problems using data from internal and external sources to provide insight todecisionsat the leadershiplevel.Works directly with aviation and in-flight entertainment data toidentifyopportunities specific to that domain. Identifiesand interprets trends and patterns in datasets tolocateinfluences. Have strongpredictive,statistical modeling skills. Constructs forecasts,recommendations,and strategic/tactical plans based on business data and market knowledge.Creates specifications for reports and analysis based on business needs and required or available data elements.Provide consultation to users and lead cross-functional teams to address business issues. Directly produce datasets and reports for analysis using system reporting tools. Sets direction for modelingapproachesand mentors other data scientists on the team.

Responsibilities What We’re looking for
  • Build, own, and defend predictive, classification, forecasting, and recommendation models using Pythonidentifyingemerging trends and business opportunities from customer, operational, and market data,while independentlydeterminingthe modeling approach and technique for a given problem
  • Partner with Data Engineering on data infrastructure needs, translating modeling and analytics requirements into scalable data sources.
  • Sound knowledge in ETL and Data Warehouse concepts, experience with AWS cloud-based platforms.
  • Employ the established Data Governance model including people, process, and technology to sustain Data Quality for the data objects and implement the necessary operating mechanisms to ensure compliance.
  • Build fault tolerant, self-healing, adaptive and highly accurate data computational and analytic processing applications.
  • Programming Develops and/or uses algorithms and ML prescriptive models and determines analytical approaches and modeling techniques to evaluate scenarios and potential future outcomes.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.
  • Partner with business process experts and owners to build BI and leading indicators of operational benchmarks.
  • Mentor and guide the technical direction of junior data scientists, reviewing modeling approach and code to ensure rigor and consistency across the team
  • Partner with Data Engineering, Product, and Business stakeholders to help define what should be built, shaping the roadmap rather than just executing against it.
KNOWLEDGE/SKILL REQUIREMENTS
  • Strong hands-on Pythonand SQLskills for data science (pandas, scikit-learn, and similar).
  • Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML
  • Ability to deploy ML models to production environment.
  • Able to take ambiguous data and turn it into a clear business case, and present that case persuasively to both technical and non-technical audiences.
  • Solid grounding in statistics: hypothesis testing, regression, experimental design (A/B testing).
  • Exposure to GenAI/LLM concepts (RAG, vector databases, prompt engineering) is a plus.
  • Strong predictive, statistical modeling skills.
  • Strong ability to communicate both written and verbally to internal and external clients.
  • Ability to work independently with business users and cross functional leaders.
  • Ability to solve for higher ambiguity using data science.
  • Strong ability to create and deliver effective presentations to multiple audiences.
  • Advanced expertise using data analytic software such as R, Python, SQL.
  • Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary.
  • Ability to work in a collaborative environment and fast paced environment.
  • Knowledge of Extract Transform Load (ETL), Data Architecture preferred.
  • Ability to mentor junior data scientists and colleagues.
Qualifications EDUCATION/EXPERIENCE REQUIREMENTS
  • Bachelor’s degree inComputer Science, Data Science, Statistics,Engineeringor a related quantitative fieldrequired. (Masters inrelated fieldpreferred)
  • 5+ years equivalent experience in modeling, forecasting, data analytics.
  • 2+ years’ experience with AWS (Amazon Web Services) or other cloud platforms.
  • Open-source AI experience preferred.
  • Data Science Certifications Preferred.
  • Certified in AWS Cloud Preferred.
  • Experience in aviation, transportation or IoT/telemetry data domain is a plus
OTHER REQUIREMENTS

May require travel up to 5% of the time to domestic and/or international locations.

The salary range of $142,000 to $238,000 is just one component of Panasonic's total package. The final offer amount may vary based on factors including but not limited to individual's knowledge, skills, experience, and location. In addition, this role may be eligible for discretionary bonuses and incentives. The minimum hourly wage for this role will be the greater of the posted range, or minimum.

Our Principles:

Contribution to Society | Fairness & Honesty | Cooperation & Team Spirit | Untiring Effort for Improvement | Courtesy & Humility | Adaptability | Gratitude

What we offer:
  • We offer flexible-hybrid work opportunities.
  • Paid time off: Exempt Salaried employees receive unlimited PTO. This means that there is no fixed number, range, or limit to the amount of Personal and Vacation Days that may be taken for exempt employees. Non-exempt hourly employees accrue 14 vacation days per year + 7 sick days + 3 personal days. Accrual rate increases with tenure. All employees receive 11 company paid holidays per year plus a paid company-wide shut down in the U.S. between Christmas and New Year.
  • Insurance: Medical insurance offerings from Aetna and Kaiser (CA & HI). Options for Employee Only, Employee + Spouse/Domestic Partner, Employee + Children, or Family. Dental PPO and DMO options & Vision insurance through EyeMed or VSP.
  • 401K with 50% match on up to 8% contribution, full vested from day 1
  • Other offerings include: Wellness Program, Counseling services, FSA & HSA, Life Insurance for employee, spouse and child, AD&D Insurance, Long-term and Short-term disability, Critical Illness Insurance, Accident Insurance, Legal Assistance, Pet Insurance, Identity Theft Protection, Dependent Care FLSA, Education Assistance, Commuter Program, Employee Purchase Program, Service Award Program.

Panasonic is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, and any other characteristic protected by law or company policy. All qualified individuals are required to perform the essential functions of the job with or without reasonable accommodation. Pre-employment drug testing is required for safety sensitive positions or as may otherwise be required by contract or law. Due to the high volume of responses, we will only be able to respond to candidates of interest. All candidates must have valid authorization to work in the U.S. Thank you for your interest in Panasonic Avionics Corporation.

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