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Computer Science Data Science Jobs in San Diego, CA

Novartis

Senior Expert I, Data Science

San Diego, CA

$126K - $234K/yr

PhD in Computational Biology, System Biology, Bioinformatics, Data/Computer Science, or related field with relevant industry experience. * Strong knowledge of cancer biology and multi-modal data ...

Jj

Principal Data Scientist - Oncology

San Diego, CA · On-site

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... D. or Master's degree in bioengineering, computer science, IT, bioinformatics, physics, mathematics ...

Intuit Inc.

Senior Data Scientist

San Diego, CA · On-site

$120 - $160/hr

Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. * 4+ years of progressive experience in applied data science roles with increasing scope and ...

Intuit

Senior Data Scientist

San Diego, CA · On-site

$149K - $202K/yr

Qualifications Master's degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field. 4+ years of progressive experience in applied data science roles with increasing ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in San Diego, CA

Computer Science Data Science information

See San Diego, CA salary details

$39.8K

$130.3K

$208.6K

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

As of Aug 24, 2026, the average yearly pay for computer science data science in San Diego, CA is $130,313.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $144,400.00 per year, depending on experience, location, and employer.

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 algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What are popular job titles related to Computer Science Data Science jobs in San Diego, CA?

For Computer Science Data Science jobs in San Diego, CA, the most frequently searched job titles are:

What job categories do people searching Computer Science Data Science jobs in San Diego, CA look for?

The top searched job categories for Computer Science Data Science jobs in San Diego, CA are:

What cities near San Diego, CA are hiring for Computer Science Data Science jobs?

Cities near San Diego, 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 San Diego, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,313 per year, or $62.7 per hour.

Senior Data Scientist *** Direct End Client ***

Projas Technologies, LLC

San Diego, CA • On-site

Other

Re-posted 26 days ago

Job description

Job Title: Senior Data Scientist Product & Marketing Analytics

Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.

This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.

Key Responsibilities:

  • Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.

  • Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.

  • Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.

  • Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.

  • Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.

  • Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.

  • Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.

Qualifications:

  • 5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.

  • Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.

  • Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.

  • Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.

  • Skilled in data visualization using Tableau, Looker, or similar tools.

  • Proven ability to communicate technical results to executive and non-technical audiences.

  • Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.

  • Comfortable working in cross-functional, matrixed environments.


data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job

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