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Data Science Major Jobs in California (NOW HIRING)

Data Scientist

San Diego, CA ยท On-site

$125 - $144/hr

These are highโ€‘profile, major acquisition and manufacturing programs of significant importance to ... Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience ...

New

Company Description One of our direct client, a BigData & Data Science major is implementing BigData solution at end client site and is looking for a strong Postgres DBA to implement Postgres in ...

Data Science Manager - TikTok Ads

San Jose, CA ยท On-site

$254K - $422K/yr

... on major cross-functional measurements, testing, and modeling efforts 6. Partner with Data ... SQL) 5. Experience building data science models (Regression, Decision Trees, K-Means, etc.) 6. ...

Company Description One of our direct client, a BigData & Data Science major is implementing BigData solution at end client site and is looking for a strong Postgres DBA to implement Postgres in ...

... major system modification. Qualifications Required Qualifications: * Bachelor's Degree in Data Science or equivalent * 5 (Five) or more years of professional experience in data science related to ...

... properties, including major national and international professional sports leagues, players ... This role is ideal for someone early in their data science career who is eager to expand their ...

Major accountabilities: * Collaborate closely with interdisciplinary wet-lab and computational scientists to design, analyze, and interpret high-dimensional biological data (e.g., bulk RNA-seq, DNA ...

Master's degree in data science, computer science, statistics, engineering, business analytics, or ... Experience supporting major capital infrastructure, transportation, transit, aviation, water ...

Showing results 21-40

Data Science Major information

What are the key skills and qualifications needed to thrive as a data science major, and why are they important?

To thrive as a Data Science Major, you need a solid understanding of mathematics, statistics, and programming languages such as Python or R, typically backed by coursework or a related degree. Familiarity with data analysis tools, machine learning libraries, and platforms like SQL, TensorFlow, or Jupyter Notebook is also important. Critical thinking, effective communication, and problem-solving skills help you interpret data insights and collaborate on projects. These competencies enable you to extract meaningful information from data, drive decision-making, and succeed in a data-driven environment.

What is a data science major?

A Data Science major is an academic program that focuses on teaching students how to collect, analyze, and interpret large sets of data to solve real-world problems. It combines coursework in statistics, computer science, mathematics, and domain-specific knowledge to prepare graduates for roles in various industries such as technology, healthcare, finance, and more. Students learn programming languages like Python or R, machine learning techniques, and data visualization skills. The major often includes hands-on projects and internships to provide practical experience in analyzing and extracting insights from data.

What types of projects or problems do data science majors typically work on during internships or entry-level roles?

Data Science majors in internships or entry-level positions often collaborate on projects involving data cleaning, exploratory data analysis, and building predictive models. They might work with real-world datasets to identify trends, automate reporting, or support business decision-making with data-driven insights. These roles typically require teamwork with software engineers, business analysts, and domain experts, offering valuable opportunities to apply classroom knowledge to practical challenges and to develop skills in popular tools like Python, R, and SQL.

What is the difference between Data Science Major vs Data Analyst?

AspectData Science MajorData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentResearch, development, and complex data modelingData interpretation, reporting, and visualization
Industry UsageTech companies, finance, healthcare, academiaBusiness, marketing, finance, healthcare
Common Search/ComparisonData Science Major vs Data Analyst

While both roles involve working with data, a Data Science Major typically prepares individuals for complex data modeling, machine learning, and research tasks. In contrast, a Data Analyst focuses on interpreting data, creating reports, and visualizations to support business decisions. The roles often overlap, but the Data Science Major emphasizes advanced analytics and programming skills, whereas Data Analysts concentrate on data interpretation and communication.

What are popular job titles related to Data Science Major jobs in California? For Data Science Major jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Science Major jobs? Cities in California with the most Data Science Major job openings:
Infographic showing various Data Science Major job openings in California 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.

Full-time

Medical, Life, Retirement

Re-posted 29 days ago


Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. Objective. Responsive. Trusted.
The AUKUS, Submarines, and Industrial Base Group (ASIG), within the Sea, Land, Air Division, provides timely, objective, analytic assessments that integrate technical, operational, programmatic, policy and business analysis to Director Submarine Program directorates and key stakeholders surrounding submarine platform construction. Director Submarine Program unifies submarine platform procurement activities, which includes the Columbia-class SSBN program (a Major Defense Acquisition Program and the Navy's top acquisition priority), the Virginia-class SSN program, the new SSN-X program (developing the next generation attack submarine), and the AUKUS Integration and Acquisition Office, to bring improved capabilities to our undersea forces. Analysts and Engineers supporting Director Submarine Program will continue SPA's decades of support to the SSBN force, as well as supporting oversight of cutting-edge attack submarine construction, assisting in developing the design requirements for the SSN platform of the future, and helping plan and execute new and innovative strategies to strengthen the critical submarine shipbuilding industrial base. These are high-profile, major acquisition and manufacturing programs of significant importance to the future capabilities of the US Navy in an era of renewed strategic competition.
SPA is looking for a Mid-Level Data Scientist with Artificial Intelligence experience in the training and development field to support a contingent role with Naval Information Warfare Systems Command (NAVWAR) Manpower, Personnel & Training in San Diego, CA. #KS M
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Responsibilities
In this role, a Mid-Level Data Scientist will work with NAVWAR's CNO's Integrated Product Team for Data Science to help develop data scientist training for NAVWAR Enterprise products. Work will include creation and modification of initial training plans, usable training packages for systems in production as well as training guides for instructors and maintenance personnel; support installation of new training equipment, including preparation of plans; alterations, conversions, rehabilitations, of facilities required incident to installation (excluding military construction); and field engineer services; support removals and re-installation of an initial equipment installation project, removal of equipment no longer used for training purposes, and re-installations required because of the re-establishment of upgrade of a training program; support initial training for new production equipment furnished until the training agency can acquire the capability; prepare technical or journeyman's manuals with associated instructor guides and trainee measurement aids when required for training of new or upgraded equipment due to a major system modification.
Qualifications
Required Qualifications:
  • Bachelor's Degree in Data Science or equivalent
  • 5 (Five) or more years of professional experience in data science related to training and development, with a artificial intelligence focus
  • Data management and data visualization experience with Navy or comparable DoW databases
  • Possession of 1 or more relevant industry certifications such as CompTIA Cloud Essentials, Microsoft Technical Associate (MTA), Certificate of Cloud Security (CCSK), CompTIA A+, CompTIA Security+, EMC Data Science Associate (EMCDSA), Cloudera Certified Data Scientist (CCDH), Certified Apache Hadoop Developer (HCAHD) (Hortonworks), Certified Information System Security Professional (CISSP), Certified Cloud Professional (CCP) (Cloudera), Microsoft Certified Professional Developer (MCPD), Microsoft Certified Solution Developer(MCSD), Microsoft Certified Solution Expert (MCSE), Private Cloud, Certified Administrator for Apache Hadoop (CCAH) (Cloudera)
  • Proven ability to work independently and within a team environment to achieve client objectives.
  • DoD Top Secret Clearance and the ability to maintain it throughout employment

Desired Qualifications:
  • Ability to collaborate with Navy partners to execute integrated training products
  • Experience in direct support of a Navy or DoW data visualization product developing, preferably within NAVWAR or NETC

At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities.
SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc.
Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Pay Transparency Range: $125K-$144K.
Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. California, Pay Transparency Salary range: USD $125,000.00/Yr. - USD $144,000.00/Yr.