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Data Analytics Computer Science Jobs in California

Required : • Secret Clearance • Master's degree in data science, Analytics, Computer Science • Minimum 5 years of experience developing, analyzing, or deploying data-driven solutions • ...

Master's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Business Analytics, Computer Engineering, or Systems Engineering a plus Company : Booz Allen Hamilton is ...

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Qualifications Responsibilities : • Collaborate with business analysts and data scientists in ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Company Description We are seeking a developer to join the data analytics team with at least 5 ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required.

Data Scientist, Mid

San Diego, CA · On-site

$77K - $176K/yr

Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or ...

Bachelor's degree in an Analytical or Engineering field, such as Computer Science, Data Science, Computer Engineering, or Systems Engineering preferred; Master's degree in an Analytical or ...

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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 Scientist II

Data Scientist II

Sentar Inc.

San Diego, CA • On-site

Full-time

Posted 11 days ago


Job description

Job Summary:
Sentar Inc. is an employee-owned company focused on cybersecurity, intelligence, analytics, and systems engineering. They are seeking a Data Scientist II to develop and analyze data-driven solutions, utilizing skills in machine learning and data analysis.
Qualifications:
Required:
• Secret Clearance
• Master’s degree in data science, Analytics, Computer Science
• Minimum 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)
• Minimum 5+ years’ experience with machine learning or AI enabled systems.
Preferred:
• 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
Company:
Sentar, an employee-owned company, is a leading cyber-intelligence solutions provider focused on the National Security sector. Founded in 1990, the company is headquartered in Huntsville, USA, with a team of 201-500 employees. The company is currently Growth Stage.