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Computer Science Data Science Jobs in Long Beach, CA

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience. * 1-3 years of experience in data science, analytics ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ years of experience in data science, machine learning, or advanced analytics, with ...

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

Bachelor's or advanced degree in Data Science, Computer Science, Statistics, Mathematics, or related field * 5+ years of experience in data science, machine learning, or advanced analytics, with ...

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech ... Bachelor's degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or ...

Fanatics Collectibles

Data Scientist

Los Angeles, CA · On-site

Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience. * 1-3 years of experience in data science, analytics ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) * Minimum 2 years of management experience, plus minimum of 6 years of ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.) * Minimum 2 years of management experience, plus minimum of 6 years of ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA · On-site

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Heluna Health

Data Scientist Supervisor

Alhambra, CA

$9.8K - $13K/mo

Master's degree from an accredited institution in Data Science, Computer Science, Statistics, Mathematics, or a related field. * 6+ years of experience in data science, with at least 2 years in a ...

Tatari

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required * 1-2 years of academic and/or professional experience in Data Manipulation ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Long Beach, CA

Computer Science Data Science information

See Long Beach, CA salary details

$39.4K

$129.1K

$206.6K

How much do computer science data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for computer science data science in Long Beach, CA is $129,056.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $143,000.00 per year, depending on experience, location, and employer.

Is data science high paying?

Data science roles, including those in computer science and data science, are generally high paying due to the specialized skills required, such as programming, statistical analysis, and machine learning. Salaries tend to be above average compared to many other tech positions and often increase with experience, certifications, and advanced skills in tools like Python, R, and SQL.

Is 40 too late for data science?

Computer Science Data Science is a field where individuals can enter at any age, including 40, as long as they develop relevant skills such as programming, statistics, and machine learning. Many professionals successfully transition into data science later in their careers by gaining certifications, building portfolios, and gaining practical experience.

Can computer science majors get data science jobs?

Yes, computer science majors often qualify for data science roles because they typically have strong programming, statistical, and analytical skills. Success in obtaining a data science job may also depend on experience with tools like Python, R, and SQL, as well as knowledge of machine learning and data visualization. Additional certifications or projects can enhance employability in this field.

Will AI replace data science?

AI is transforming data science by automating tasks like data analysis and model development, but it is unlikely to fully replace data scientists. Instead, data scientists will increasingly focus on interpreting AI outputs, developing new algorithms, and applying domain expertise. Skills in programming, statistical analysis, and machine learning tools remain essential for the role.
What job categories do people searching Computer Science Data Science jobs in Long Beach, CA look for? The top searched job categories for Computer Science Data Science jobs in Long Beach, CA are:
What cities near Long Beach, CA are hiring for Computer Science Data Science jobs? Cities near Long Beach, CA with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Long Beach, CA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 82% Physical, 1% Hybrid, and 17% Remote job distribution, with an average salary of $129,056 per year, or $62 per hour.

Data Scientist

Fanatics Collectibles

Los Angeles, CA • On-site

Other

Posted 8 days ago

Job description

About the Team

Fanatics Collectibles is a new company operating at the intersection of collectibles, culture, and technology. Backed by world-class investors, operators, and sports & entertainment partners, we are building the global leader in next-generation collectibles. As part of the broader Fanatics ecosystem, we leverage a digital sports platform that spans over 900 sports properties and engages more than 81 million fans. Together, we are reimagining every part of the collectibles experience for fans, partners, and creators.

Role Summary

As a Data Scientist, you will support the development of analytical models, experimentation, and reporting that help improve our products and inform business decisions. Working closely with senior data scientists, product managers, engineers, and analysts, you will apply statistical methods and machine learning techniques to analyze data, uncover insights, and contribute to data-driven product improvements.
This role is ideal for someone early in their data science career who is eager to expand their technical skills while gaining experience in a fast-paced, product-focused environment.

 What You'll Do
  • Partner with Product, Engineering, and Analytics teams to understand business questions and support data-driven decision making.
  • Build, validate, and maintain analytical models and data pipelines under the guidance of senior team members.
  • Perform statistical analyses and exploratory data analysis to identify trends, patterns, and opportunities.
  • Support A/B testing initiatives by assisting with experiment design, data validation, statistical analysis, and communicating results.
  • Develop dashboards and reports using tools such as Sigma or Looker to help stakeholders monitor product performance and key business metrics.
  • Write efficient SQL queries and work with cloud-based data warehouses such as Snowflake or BigQuery to prepare and analyze data.
  • Use Python or R to automate analyses and develop reproducible analytical workflows.
  • Leverage AI-assisted development tools (such as Claude or OpenAI) and engineering platforms (GitHub, Airflow) to improve productivity and collaboration.
  • Collaborate with senior data scientists to improve existing models and analytical processes while continuing to build technical expertise.
  • Clearly communicate analytical findings and recommendations to technical and non-technical stakeholders.
What You'll Need
  • Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or another quantitative field, or equivalent practical experience.
  • 1-3 years of experience in data science, analytics, or a related quantitative role.
  • Working knowledge of SQL and experience querying large datasets.
  • Proficiency in Python or R for data analysis.
  • Foundational understanding of statistics, hypothesis testing, regression analysis, and experimental design.
  • Familiarity with machine learning concepts and common libraries such as scikit-learn.
  • Strong analytical thinking, curiosity, and willingness to learn new technologies.
  • Excellent communication and collaboration skills.
Bonus Qualifications
  • Master's degree in a quantitative discipline.
  • Experience with business intelligence tools such as Sigma, Looker, or Tableau.
  • Exposure to cloud data platforms including Snowflake or BigQuery.
  • Coursework or practical experience with machine learning, forecasting, or experimentation.
  • Experience working in consumer technology, e-commerce, marketplaces, or digital products.
  • Familiarity with behavioral analytics platforms such as Mixpanel, Amplitude, or Google Analytics.

Ensure your Fanatics job offer is legitimate and don't fall victim to fraud.  Fanatics never seeks payment from job applicants. Feel free to ask your recruiter for a phone call or other type of communication for interview, and ensure your communication is coming from a Fanatics email address (including @collectfanatics.com).  For added security, where possible, apply through our company website at www.fanaticsinc.com/careers

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