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Trainee Computer Data Scientist Jobs in California

Microsoft

Principal Data Scientist

Mountain View, CA · On-site

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured ...

ASK Consulting

Data Scientist

San Francisco, CA · On-site

Apply your expertise in quantitative analysis and data modeling to uncover deep insights into ... Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... M.S. in Computer Science, Applied Mathematics, Statistics or related field. * Proven track record ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

Teichert

Data Scientist

Sacramento, CA · On-site

Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field. Experience and Industry Expertise: * Minimum 5 years of hands ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Our ideal Data Scientist is hands-on, collaborative, self-motivated, and innovative. She or he ... M.S. in Computer Science, Applied Mathematics, Statistics or related field. * Proven track record ...

Careers at Teichert

Data Scientist

Sacramento, CA

Master's degree or PhD in Data Science, Statistics, Computer Science, Applied Mathematics, Engineering, or a related quantitative field. Experience and Industry Expertise: * Minimum 5 years of hands ...

Cypress HCM

Data Scientist

San Jose, CA · On-site

$105.63/hr

Bachelor's degree in computer science, statistics, physics or a related field is required. A Master's degree in this field is preferred. * 3-5+ years of direct experience as a Data Scientist * Deep ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Data Scientist Location: Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science ...

Info Way Solutions

Data Scientist

Fremont, CA · On-site

Required : • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. • Proven experience as a Data Scientist or Machine Learning Engineer, with a strong ...

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All JobsComputer Data Scientist JobsTrainee Computer Data Scientist JobsTrainee Computer Data Scientist Jobs in California

Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

How to start a career in data science with no experience?

To start a career as a trainee computer data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, earning relevant certifications, and working on personal or open-source projects can demonstrate your abilities to employers. Gaining practical experience through internships or entry-level roles can also help transition into a data science career.

What are the most commonly searched types of Computer Data Scientist jobs in California?

The most popular types of Computer Data Scientist jobs in California are:

What cities in California are hiring for Trainee Computer Data Scientist jobs?

Cities in California with the most Trainee Computer Data Scientist job openings:

Trainee Computer Data Scientist jobs near you

Principal Data Scientist

Mountain View, CA • On-site

Microsoft
Computer and Computer Peripheral Equipment and Software Wholesalers • 10K+ employees
Learn more about Microsoftexternal

Full-time

Posted 13 days ago

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

Job description

Overview
Microsoft Copilot is building an ecosystem of AI-powered consumer experiences across Search, Copilot, Edge, MSN, and beyond. The MAI Ecosystem Data Science team defines the metrics, experimentation frameworks, and measurement systems that shape how Microsoft AI evaluates success, identifies opportunities, and makes investment decisions at scale.
We are seeking a Principal Data Scientist to lead ecosystem-level measurement strategy across products and businesses. In this role, you will develop the scientific foundations that guide some of Microsoft's most important AI investments, partnering closely with product, engineering, business, and executive leaders to influence strategy, execution, and resource allocation.
The ideal candidate combines deep expertise in experimentation, statistics, metrics, and causal inference with exceptional business judgment and influence. You thrive in ambiguity, challenge assumptions with data, and transform complex signals into clear decisions that drive product and business impact.
This is a unique opportunity to shape how Microsoft AI measures value across the ecosystem, uncover new growth opportunities, and help define the future of AI-powered consumer experiences.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
Responsibilities
  • Define the measurement strategy, metrics, and decision frameworks that guide product and investment decisions across the Microsoft AI ecosystem.
  • Lead ecosystem-level analyses, experimentation, and causal inference to uncover opportunities, quantify impact, and drive business outcomes.
  • Partner across product, engineering, business, and executive leadership teams to shape strategy, roadmap priorities, and resource allocation.
  • Identify emerging opportunities, risks, and market dynamics before they become visible in product-level metrics.
  • Design and evolve North Star metrics and evaluation systems that accurately measure user value, business impact, and long-term ecosystem health.
  • Drive alignment and execution across organizations through influence, scientific rigor, and trusted partnerships.
  • Raise the bar for analytical excellence through technical leadership, mentorship, and best practices in measurement, experimentation, and data science.

Qualifications
Required Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.

Preferred Qualifications:
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
    • OR equivalent experience.
  • 6+ years of experience in Python, R, C++, Java, C#, or similar programming languages.
  • Demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis.
  • Experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions.
  • Proven track record of identifying high-impact opportunities and solving complex, ambiguous problems across multiple organizations.
  • Experience influencing product strategy and driving alignment among stakeholders with differing objectives through data-driven insights and recommendations.
  • Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear guidance for executive and non-technical audiences.
  • Experience leading large cross-functional initiatives and collaborating effectively across product, engineering, business, and analytics teams without direct authority.
  • Experience building and evaluating production-scale data, analytics, machine learning, or experimentation systems.

#MicrosoftAI
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

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Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

Social media

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