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Computer Science Data Science Jobs in San Mateo, CA

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

New

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Company Description Intelliswift Software, Inc 5+ years of experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience leverating R, or Excel for ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

New

Bachelor's degree in Computer Science, Data Science, or a related discipline (advanced degrees or relevant certifications add an advantage). * A dependable attitude--committed, collaborative, and ...

LinkedIn's Data Science team turns member and customer behavior into product decisions across one ... Computer Science, Statistics, Operations Research, Informatics, Engineering, Applied Mathematics ...

New

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 10+ years of experience in analytics and data science, leading analytics ...

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience * 10+ years of experience in analytics and data science, leading analytics ...

... Computer Science, Engineering, Math, Statistics, etc. - Years of experience in data science, algorithmic engineering, or machine learning - Many years of experience in managing and mentoring data ...

Showing results 21-40

Computer Science Data Science information

See San Mateo, CA salary details

$42.7K

$139.8K

$223.8K

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

As of Aug 21, 2026, the average yearly pay for computer science data science in San Mateo, CA is $139,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,200.00 and $154,900.00 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 job categories do people searching Computer Science Data Science jobs in San Mateo, CA look for?

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

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

Cities near San Mateo, CA with the most Computer Science Data Science job openings:

5017 Data Scientist/Analyst

Toshiba America Electronic Components, Inc

San Jose, CA • On-site

$99K - $140K/yr

Full-time

Posted 13 hours ago

Posted today


Job description

Job Summary:
We are seeking a Data Scientist/Analyst to develop data pipelines, machine learning models, and analytics products from large-scale data sources, including hard drive telemetry from data center deployments. The role applies data science to improve product reliability, customer support, and business decision-making across the organization. The ideal candidate works end-to-end — from raw data through deployed, maintained systems — and communicates effectively with engineering, sales, executive, and customer stakeholders. 
 
Key Responsibilities:
  • Develop, deploy, and maintain machine learning models for prediction and analytics use cases, including retraining, monitoring, and evaluation
  • Design and maintain automated data pipelines for large-scale data ingestion, processing, and storage across cloud and on premises environments
  • Build and support interactive dashboards and automated reporting for internal teams and customers
  • Develop tooling to onboard and process new data sources, both internal and customer-provided
  • Work closely with engineering, quality, sales, and marketing stakeholders to formulate problem statements and deliver analytics solutions
  • Respond to ad hoc data questions and analysis requests from stakeholders as they arise
  • Communicate key findings to technical and business audiences, including senior stakeholders and customers
  • Research and evaluate new techniques and technologies in data science and machine learning
  • Maintain clear documentation and technical standards
 
Required Qualifications:
  • M.S. or B.S. in Data Science, Computer Science, Data Analytics, Engineering, or equivalent
  • 3 years of professional experience delivering data science or data engineering projects to production
  • Proficiency in Python and SQL, as well as common Python libraries like Pandas, NumPy, and Scikit-learn
  • Experience with machine learning frameworks, model training, and validation
  • Experience with cloud services (Azure, AWS, Google cloud)
  • Experience with Git and version control workflows
  • Strong problem solving and communication skills
 
Preferred Qualifications:
  • Experience with large-scale time series or sensor data
  • Comfortable working in Windows and Linux environments
  • Dashboard and data product development experience
  • Experience with GPU computing and on-premises ML development
  • Familiarity with AI tools and their application to development and analytics workflows
  • Storage industry or hardware domain knowledge

Salary Range: $99,400 - $140,000

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