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Trainee Computer Data Scientist Jobs in California

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

... 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 ...

Data Scientist

Sunnyvale, CA Β· On-site

$130K - $160K/yr

Data Scientist Location: Sunnyvale, CA Sponsorship: Yes Relocation: Yes Industry: eCommerce Are you ... PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in ...

Data Scientist

El Segundo, CA Β· On-site

$95K - $142K/yr

Bachelor'sdegree inData Science, Computer Science,Electrical or Computer Engineering, Physics, Mathematics, orrelatedSTEMfield(s) * 2 years of industry experience in Data Science or Machine Learning

Data Scientist

El Segundo, CA Β· On-site

$95K - $142K/yr

Bachelor's degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related STEM field(s) * 2 years of industry experience in Data Science or Machine ...

DATA SCIENTIST

San Diego, CA Β· On-site

$120K - $150K/yr

Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. * Work alongside other AI/ML and DevOps engineers to ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Data Scientist

El Segundo, CA Β· On-site

$95K - $142K/yr

Bachelor's degree in Data Science, Computer Science, Electrical or Computer Engineering, Physics, Mathematics, or related STEM field(s) * 2 years of industry experience in Data Science or Machine ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

DATA SCIENTIST

San Diego, CA Β· On-site

$120K - $150K/yr

Work with the TRABUS Data Science team to deliver scalable AI solutions involving LLMs, RAG, prompt engineering, computer vision, and NLP tools. * Work alongside other AI/ML and DevOps engineers to ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Writes computer programs and analyzes large datasets to uncover answers to complex problems ... Basic data science concepts: probability, statistics, hypothesis testing, machine learning, natural ...

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

Data Scientist

San Francisco, CA Β· On-site

$100 - $112.67/hr

Data Scientist Location: San Francisco, CA (Hybrid role) Duration: 12 months contract Pay rate ... BachelorÒ€'s degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics ...

New

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

New

Qualifications for Data Scientist Strong problem solving skills with an emphasis on product ... Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw ...

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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:

Data Scientist

San Francisco, CA β€’ On-site

Full-time

Re-posted 8 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.