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Data Analytics Computer Science Jobs in California

Sigma Defense

1698 - Data Scientist

San Diego, CA · On-site

$130K - $150K/yr

Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study. Essential Job Duties (not all-inclusive): * Collects and analyzes ...

Sigma Defense

1698 - Data Scientist

San Diego, CA · On-site

$130K - $150K/yr

Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study. Essential Job Duties (not all-inclusive): * Collects and analyzes ...

Sigma Defense

1698 - Data Scientist

San Diego, CA · On-site

$130K - $150K/yr

Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study. Essential Job Duties (not all-inclusive): * Collects and analyzes ...

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site

Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields * Junior or Senior standing preferred * GPA of 3.0 or higher

EV Realty

Intern, Data Analytics

San Francisco, CA · On-site +1

Currently pursuing a Bachelor's degree in Data Science, Statistics, Computer Science, GIS, Business Analytics or related fields * Junior or Senior standing preferred * GPA of 3.0 or higher apply for ...

Molina Healthcare

Manager, Data Analytics

Long Beach, CA · On-site +1

$79K - $172K/yr

Bachelor's Degree in Math, Finance, Economics, Computer Science or equivalent combination of ... Must have hands on data analytics and people management experience. * Experience working on PowerBI ...

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All JobsData Analytics Computer Science JobsData Analytics Computer Science Jobs in California

Data Analytics Computer Science information

Is 40 too late for data science?

Data analytics and data science roles are open to individuals of all ages, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, regardless of age. Continuous learning and practical experience are key factors for career advancement in this field.

What is the difference between Data Analytics Computer Science vs Data Science?

AspectData Analytics Computer ScienceData Science
Required CredentialsBachelor's in Computer Science, Data Analytics, or related fields; certifications like Google Data AnalyticsBachelor's or higher in Computer Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, analytics teams, IT departmentsResearch labs, tech companies, consulting firms
Employer & Industry UsageFinance, healthcare, marketing, retailTech, finance, healthcare, academia

Data Analytics Computer Science focuses on analyzing data to inform business decisions using programming and statistical tools. Data Science encompasses a broader scope, including developing models, machine learning, and predictive analytics. While both roles require similar credentials and often work in overlapping industries, Data Science typically involves more advanced statistical and modeling skills, whereas Data Analytics Computer Science emphasizes data processing and visualization for decision-making.

What is the salary of a 2 year experience data scientist?

A data scientist with two years of experience typically earns between $70,000 and $100,000 annually, depending on the industry, location, and skill set. Proficiency in programming languages like Python or R, along with experience in machine learning and data visualization tools, can influence salary levels.

Is AI replacing data analysts?

Data analysts play a crucial role in interpreting data and providing insights, and AI tools are designed to assist rather than replace them. AI can automate routine tasks and enhance data processing, but human expertise is still essential for complex analysis, decision-making, and contextual understanding. Developing skills in data visualization, programming, and machine learning can help data analysts stay valuable in an evolving job market.

Can computer science work as a data analyst?

A computer science degree provides a strong foundation in programming, algorithms, and data management, which are essential skills for a data analyst. Data analysts typically use tools like SQL, Excel, and statistical software, and may benefit from knowledge of programming languages such as Python or R. While a computer science background is valuable, additional training in data visualization and statistical analysis is often required for data analyst roles.
What cities in California are hiring for Data Analytics Computer Science jobs? Cities in California with the most Data Analytics Computer Science job openings:
Data Analytics Computer Science jobs near you

1698 - Data Scientist

Sigma Defense

San Diego, CA • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

Sigma Defense is seeking a Data Scientist to join our team in San Diego NB, CA.

Equal Opportunity Employer/Veterans/Disabled: Sigma Defense Systems is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Requirements

  • 5+ years of experience developing, analyzing, or deploying data-driven solutions.
  • Experience with data analysis, visualization, or decision support tools.
  • Experience with Python or similar programming languages.
  • Experience using version control systems (e.g., Git).
  • 5+ years of experience with machine learning or AI enabled systems.
  • Must be a U.S. citizen.

Candidate Differentiators:

  • NWIC PAC Experience.
  • Experience in Airborne Networking Domain.

Computer Programs/Software:

  • Experience with natural language processing or large language models.
  • Experience deploying applications in operational environments (afloat/ashore).
  • Experience with containerized environments (e.g., Docker, Kubernetes, OpenShift).
  • Experience supporting cybersecurity considerations in software development.
  • Experience working with DOW or NAVAIR program office.

Personnel Clearance Level:

  • Candidate must possess or have the ability to obtain an active Top Secret security clearance or higher.
  • Clearance may be sponsored for the right candidate.

Education Requirements:

  • Master's degree from an accredited college or university in Data Science, Analytics, Computer Science, or related field of study.

Essential Job Duties (not all-inclusive):

  • Collects and analyzes statistics and information from multiple sources to spot trends and to gain maximum insight that can give the company a competitive advantage and communicates informed conclusions and recommendations across an organization's leadership structure.
  • Strategizes and identifies unique opportunities to locate and collect new data, explores and mines data from many angles, and determines what it means.
  • Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
  • Finds and recommends new uses for existing data sources; designs, modifies, and builds new data processes; and builds large, complex data sets.
  • Conducts statistical modeling and experiment design, and tests and validates predictive models.
  • Builds web prototypes and performs data visualization.
  • Conducts scalable data research on and off the cloud. Develops customized algorithms to solve analytical problems with incomplete data sets, and implements automated processes for efficiently producing scale models.
  • Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
  • Implement new or enhanced software designed to access and handle data more efficiently.
  • Trains the data management team on new or updated procedures.
  • Writes and implements quality procedures.

Salary Range: $130,000 - $150,000 annually.

Benefits

  • Dental and Vision Insurance
  • Medical Insurance to Include HSA, FSA, and DFSA Plans
  • Life and AD&D coverage
  • Employee Assistance Program (EAP)
  • 401(k) Plan with Company Matching Contributions
  • 160 Hours of Paid Time Off (PTO)
  • 12 (Floating) Holidays
  • Educational Assistance
  • Highly Competitive Salary