1

Data Science Intern Jobs in El Segundo, CA (NOW HIRING)

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Technical Responsibilities : * Design and Execute Experiments: Lead end-to-end A/B testing ...

Showing results 41-60

Data Science Intern information

See El Segundo, CA salary details

$12

$23

$44

How much do data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science intern in El Segundo, CA is $23.97, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $26.11 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What are the key skills and qualifications needed to thrive as a data science intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in El Segundo, CA?

The most popular types of Data Science jobs in El Segundo, CA are:

What are popular job titles related to Data Science Intern jobs in El Segundo, CA?

For Data Science Intern jobs in El Segundo, CA, the most frequently searched job titles are:

What job categories do people searching Data Science Intern jobs in El Segundo, CA look for?

The top searched job categories for Data Science Intern jobs in El Segundo, CA are:

What cities near El Segundo, CA are hiring for Data Science Intern jobs?

Cities near El Segundo, CA with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in El Segundo, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,859 per year, or $24 per hour.

Principal Data Scientist - Games

1616 Disney Online

Glendale, CA โ€ข On-site

$155.70 - $208.70/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Principal Data Scientist - Games Req ID: 10154423

The Walt Disney Company is seeking a highly analytical, strategic, and collaborative Games Principal Data Scientist to join the Disney Games & Digital Entertainment team. This role will serve as a key individual contributor, driving advanced analytics, predictive modeling, experimentation, and data insights initiatives across Disneyโ€™s groundbreaking partnership with Epic Games in the development of an expansive new Disney digital universe connected to Fortnite. In this high-impact position, you will partner closely with Product, Technology, Content, Marketing, Executive Leadership, and cross-enterprise teams to deliver data-driven insights that shape games product strategy, optimize player and audience engagement, improve monetization outcomes, and influence long-term business decisions. You will help build scalable data science capabilities, experimentation frameworks, dashboards, and behavioral analytics solutions. This role is ideal for a deeply analytical and curious data science expert who thrives at the intersection of games, data, technology, and storytelling, and who is passionate about transforming complex behavioral datasets into meaningful consumer and business impact.


Responsibilities

  • Serve as the primary games data science and analytics lead for Disney Digital Entertainment, acting as the central source of truth for games product performance, player behavior, and business insights

  • Partner closely with leadership, cross-functional leads, and cross-enterprise teams to delivering actionable insights and strategic recommendations that inform critical business and product decisions.

  • Develop and deliver data-driven business and product performance analyses for senior leadership by synthesizing complex data into clear narratives, executive-level presentations, and strategy recommendations

  • Develop and apply advanced analytical frameworks, statistical analyses, forecasting models, and behavioral segmentation approaches focused on player engagement, retention, churn, monetization, lifecycle behavior, and content performance

  • Analyze gameplay telemetry, social engagement data, creator content trends, and streaming interaction data, and cross-TWDC engagement signals to identify growth opportunities and optimize user experiences across games and digital entertainment ecosystems

  • Partner closely with cross-functional teams and leadership to define KPIs, measurement frameworks, instrumentation requirements, and scalable analytics solutions that support product development and strategic planning

  • Lead deep-dive analyses on player progression systems, engagement funnels, franchise affinity, personalization opportunities, social behaviors, and monetization trends to support data-informed product strategy

  • Collaborate with data engineering and platform teams to build scalable analytics infrastructure, event pipelines, and trusted datasets and self-service reporting solutions

  • Act as a subject matter expert on games analytics, measurement strategy, and product performance insights, driving best practices across the organization

  • Translate complex analytical findings and technical concepts into clear, compelling narratives and recommendations for technical and non-technical audiences, including senior leadership


Basic Qualifications

  • Bachelorโ€™s degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field; advanced degree preferred

  • 10+ years of experience in data science, advanced analytics, or quantitative product analytics, within gaming, streaming, or entertainment industries

  • Proven experience applying statistical analysis, forecasting, experimentation frameworks, and behavioral analytics techniques to large-scale consumer and telemetry datasets

  • Strong proficiency in SQL and Python or R, with hands-on experience working within modern cloud data ecosystems and analytics platforms such as Snowflake, Databricks, AWS, Tableau, and Looker

  • Experience working with large-scale event-stream and gameplay telemetry datasets, including player behavior, audience engagement, content performance, progression systems, retention, and monetization analysis

  • Familiarity with audience segmentation, personalization strategies, recommendation systems, or content optimization frameworks that support player engagement

  • Strong understanding of player or consumer lifecycle analytics, engagement measurement, retention analysis, segmentation, monetization optimization, and experimentation methodologies including A/B testing

  • Demonstrated ability to influence strategic decision-making through data-driven storytelling, executive communication, and cross-functional collaboration within fast-paced, matrixed organizations


Compensation & Benefits

  • The hiring range for this position in Glendale, CA is $155,700 to $208,700 per year

  • The base pay actually offered will take into account internal equity and also may vary depending on the candidateโ€™s geographic region, job-related knowledge, skills, and experience among other factors

  • A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered


Additional Information

  • Employment Type: Full time

  • Primary City, State, Region, Postal Code: Glendale, CA, USA

  • Job Posting Segment: NA - Games

  • Job Posting Primary Business: Regional (NA - Games)

  • Job Posting Primary Job Posting Category: Tech Data Analytics

  • Date Posted: 2026-07-27


#J-18808-Ljbffr