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Computer Science Data Science Jobs in San Diego, CA

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Citizenship with an active or interim Secret clearanceBachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred)10+ years of professional ...

Manager Data Science

San Diego, CA · On-site

$142 - $236/hr

As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust ...

New

As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust ...

As part of the Data Science and Engineering team, this role combines strategic leadership, technical expertise, and people management to deliver innovative data solutions while ensuring robust ...

Senior Data Scientist

San Diego, CA · On-site

$160K - $200K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Typically requires a bachelor's or master's degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May ...

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) * 10+ years of professional experience in data science and leadership or senior ...

Showing results 21-40

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 20, 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:

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 Software Engineer Expeditionary Systems (OpAI)

Science Applications International Corporation

San Diego, CA • On-site

Full-time

Posted 9 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

79th of 224 rated it services


Job description


SAIC is seeking a highly experienced and motivated Senior Software Engineer to contribute to the integration of AI capabilities into expeditionary systems, including sensor kits, UxS, C2, and TAK. The successful candidate will play a key role in enhancing the capabilities of expeditionary systems through innovative and cutting-edge technologies. Daily tasks can vary from hands on keyboard to technical discussions, including but not limited to, maintaining real-time Zenoh data mesh in Rust, creating frontend React applications in JavaScript, working with AI engineers to integrate machine learning models, converting data between standard tactical message formats, or providing subject matter expertise in discussions with senior management.
Locations willing to consider future candidate:
This roles is 100% ON-SITE, must be nearby one of the following locations but if San Diego, CA is not your primary location you will be required to travel to San Diego, CA for at least 5 weeks a year for team meetings and administrative tasks.
  1. San Diego, CA
  2. Arlington, VA
  3. Colorado Springs, CO
  4. Charleston, SC
  5. Denver, CO

JOB DUTIES:
  • Collaborate with cross-functional teams to understand and address the Navy's operational challenges integrating artificial intelligence into expeditionary systems.
  • Design, develop, and implement software for tactical applications
  • Test software at field experiments to ensure performant and high-quality data flow between tactical systems, including sensors, UxS, and C2
  • Collaborate with machine learning engineers and domain experts to analyze data and integrate machine learning solutions into existing systems.
  • Collaborate with data engineers to monitor data pipelines and analytics to ensure accuracy, reliability, and robustness.
  • Stay updated with the latest advancements in data architecture to propose and implement innovative solutions.
  • Work closely with systems engineers to connect data pipelines with operational systems
  • Provide technical expertise and contribute to the development of long-term technology strategies within the Department of the Navy.

Qualifications
REQUIREMENTS:
  • Bachelors in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics and nine (9) years or more experience. Years of experience in lieu of degree to be taken into consideration.
  • Must be a U.S. Citizen
  • Must have an Active Secret Clearance to start
  • Must be able to obtain a TS/SCI clearance after start
  • At least 9 years experience working as a business analyst, data analyst, data scientist, data engineer, database administrator, geospatial analyst, geospatial engineer, IT specialist, machine learning engineer, software engineer, or system administrator.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Expert programming skills in Python
  • Intermediate programming skills in Rust or Go
  • Experience designing or normalizing tactical data to common standards
  • Experience with multiple data formats, e.g., CSV, JSON, XML, Parquet, ORC.
  • Familiarity with event streaming libraries and platforms, e.g., Apache Kafka, AWS Kinesis, RabbitMQ, ZeroMQ, or Zenoh.
  • Experience with troubleshooting tactical systems
  • Experience deploying, monitoring, and improving tactical data pipelines
  • Strong problem-solving and analytical skills.
  • Passion for staying updated with the latest advancements in tactical data architecture.
  • Excellent communication skills and the ability to work effectively in a collaborative team environment.

DESIRED SKILLS:
  • Experience integrating systems with Tactical Assault Kit (TAK) ecosystem.
  • Familiarity with data pipeline frameworks and libraries, e.g., AirByte, Apache Airflow, dbt, Apache Iceberg, Snowflake.
  • Experience with adding and retrieving data from Geographic Information Systems (GIS), e.g., ArcGIS, PostGIS.
  • Expertise in Elasticsearch, Redis, S3, PostgreSQL, or other data stores.
  • Understanding of cybersecurity principles in the context of tactical applications.
  • Previous experience working with government agencies or military organizations.
  • Master of Science in Computer Science, Data Science, Geography, Math, Machine Learning, or Statistics

About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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