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Computer Science Data Science Jobs in Fountain Valley, CA

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 ...

Data and Analytics Job Subfunction: Data Science and AI The Data Science team is pivotal in the ... mathematics, computer science, statistics or related field, and 7-10 years of experience in ...

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

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 ...

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 ...

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 ...

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 ...

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 ...

Bachelor's or Master's degree in a relevant field (e.g., Data Science, Information Systems, Computer Science, Business, or related discipline). Master's degree preferred * 7+ years of hands-on ...

New

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a related field. * Work Experience: 3+ years of experience with a Master's or PhD, or 5+ years of ...

Data Scientist II

Irvine, CA · On-site

$121K - $166K/yr

Bachelor's, Master's, or PhD in Computer Science, Data Science, Mathematics, Engineering or a related field. * Work Experience: 3+ years of experience with a Master's or PhD, or 5+ years of ...

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

CorVel is seeking a Data Science Manager perform various functions as they strive to help ... Bachelor's degree in computer Science is highly desired * Experience developing enterprise software ...

Bachelor's degree in mathematics, statistics, actuarial science, computer science, data science, or a related quantitative field * Five years of relevant experience in data science, analytics ...

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Computer Science Data Science information

See Fountain Valley, CA salary details

$41.1K

$134.7K

$215.6K

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

As of Aug 8, 2026, the average yearly pay for computer science data science in Fountain Valley, CA is $134,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $149,200.00 per year, depending on experience, location, and employer.

Is a computer science degree good for data science?

A computer science degree is highly valuable for data science roles, as it provides a strong foundation in programming, algorithms, and data structures essential for analyzing large datasets. Many data scientists also learn tools like Python, R, and SQL, and may pursue certifications or specialized training to enhance their skills. Having a degree can improve job prospects and understanding of complex technical concepts in data science.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing models, and using programming languages like Python or R. The main difference is that a data scientist often focuses more on data analysis and insights, while a computer science data scientist may have a stronger background in algorithms and software development. Skills in statistical methods, machine learning, and data visualization are essential for both positions.
What job categories do people searching Computer Science Data Science jobs in Fountain Valley, CA look for? The top searched job categories for Computer Science Data Science jobs in Fountain Valley, CA are:
What cities near Fountain Valley, CA are hiring for Computer Science Data Science jobs? Cities near Fountain Valley, CA with the most Computer Science Data Science job openings:
Infographic showing various Computer Science Data Science job openings in Fountain Valley, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,680 per year, or $64.8 per hour.

Full-time

Re-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