ZipRecruiter

Log In

1

Trainee Computer Data Scientist Jobs in California

YO AI Labs

Data Scientist

Glendale, CA · On-site

Data Scientist * Experience: 5-15 Years * Location: Glendale, USA * Job Type: Full-time Must Haves ... Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA

$175K - $263K/yr

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 4+ years of experience in data science with proven skills in developing ...

Swayable

Research Data Scientist

San Francisco, CA · On-site

Job Summary : Swayable is a fast-growing AI and automated data science platform that measures ... computer science, or a related quantitative field. Company : Swayable is a creative testing ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a ... data using distributed computing platforms (Python, R, SQL, Spark, Hive, etc.). • Experienced ...

MasterCard

Data Scientist

San Francisco, CA · On-site

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field Multiple years of professional experience in data science and/or data engineering roles Strong ...

Apple

Data Scientist

Sunnyvale, CA · On-site

We are seeking an exceptional Data Scientist to lead algorithm evaluation and performance ... Deep experience evaluating machine learning, computer vision, or AI systems through quantitative ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative ... For residents of the EU, Samba Inc. is the data controller. #J-18808-Ljbffr

CYNET SYSTEMS

Principal Data Scientist

Oakland, CA · On-site

$128 - $148/hr

Master's Degree in Data Science, Machine Learning, Computer Science, Civil Engineering, Mechanical Engineering, Electrical Engineering, Statistics, or equivalent field. * Experience in Data Science ...

Skechers

Data Scientist

Manhattan Beach, CA · On-site

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Mastercard, Inc.

Data Scientist

San Francisco, CA · On-site

... Computer Science, Data Science, Statistics, or related field • Multiple years of professional experience in data science and/or data engineering roles • Strong programming skills in SQL and ...

Skechers U.S.A., Inc.

Data Scientist

Manhattan Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Posted today

Skechers

Data Scientist

Manhattan Beach, CA

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Skechers USA, Inc.

Data Scientist

Hermosa Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.3+ years in a professional data science role with proven track record of moving models ...

New

Skechers

Data Scientist

Manhattan Beach, CA · On-site

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience. * 3+ years in a professional data science role with proven track record of moving ...

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

Our data exists with the consent of over a billion people, organized into the most complete picture ... Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative ...

Skechers USA Ltd.

Data Scientist

Manhattan Beach, CA · On-site

$95 - $130/hr

D. in quantitative field (Computer Science, Statistics, Mathematics, Physics) or equivalent industry experience.* 3+ years in a professional data science role with proven track record of moving ...

Apple

Data Scientist

Cupertino, CA

$144K - $263K/yr

... Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work experience Proficient in at least one ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

Our data exists with the consent of over a billion people, organized into the most complete picture ... Advanced degree (MS or PhD) in Statistics, Mathematics, Computer Science, or a related quantitative ...

previous page

Showing results 41-60

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

Data Scientist

YO AI Labs

Glendale, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Description

  • Job title: Data Scientist
  • Experience: 5-15 Years
  • Location: Glendale, USA
  • Job Type: Full-time


Must Haves:

  • Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL

Qualifications:

  • Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference.
  • Strong background in statistical modelling: regression, classification, time series forecasting, causal inference, and other techniques.
  • Robust knowledge of causal inference approaches such as propensity scores, synthetic controls, difference-in-differences, doubly robust methods, meta learners, and uplift modeling.
  • Expertise in A/B test design, execution, statistical modeling, and sophisticated causal inference techniques.
  • Proficient in conducting sample size calculations, power analysis, and minimum detectable effect estimation.
  • Experience managing multiple testing scenarios and controlling false discovery rates.
  • Ability to deploy both Bayesian and frequentist statistical approaches.
  • Deep understanding of assumptions required for causal inferences, including the foundational statistical concepts that underpin the approaches.
  • Proven ability to manage end-to-end experimentation and causal inference analyses, from initial requirements to impactful outcomes
  • Advanced skills in Python and/or R-including development of statistical analysis packages, and use of ML frameworks (e.g., scikit-learn, LGBM).
  • Strong communication skills for translating complex data into actionable narratives and presenting confidently to technical and non-technical audiences, including senior executives.

Key Responsibilities:

  • Design and Execute Experiments: Lead end-to-end A/B testing initiatives and Geo Experiments, from hypothesis formation and experimental design to statistical analysis and business recommendations.
  • Advanced Statistical & Causal Inference: Apply deep knowledge of experimental design, regression, classification, causal inference and ensure proper assumptions.
  • Build Scalable Solutions: Develop experimentation and causal inference tools and frameworks that can scale across Disney's businesses.
  • Deliver Strategic Insights: Partner with stakeholders to identify optimization opportunities and translate complex analytical findings into clear business recommendations.
  • Influence Executive Decisions: Present findings and recommendations to senior leadership, effectively communicating statistical concepts to non-technical stakeholders.


Preferred Qualifications:

  • MS in computer science, statistics, math or a related quantitative field +5 years of relevant experience OR PhD + 3 years of relevant experience with an emphasis on experimentation or causal inference.
  • Experience with ETL and data engineering: data extraction, transformation, integration, and quality controls for analytics at scale.
  • Skilled in production deployment and monitoring of data science solutions, including CI/CD pipelines, automated reporting, and ongoing experiment/model monitoring.
  • Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, and Github.
  • Strong strategic business insight, preferably in subscription-based business models, with ability to apply experimentation and analytics to market trends and consumer insights.
  • Proven track record of leadership and stakeholder/project management, including influencing cross-functional teams and delivering high-impact outcomes.
  • Adept at adapting quickly to shifting priorities in a fast-moving environment while maintaining quality.
  • Drive and maintain a culture of quality, innovation and experimentation.
  • Demonstrated experience mentoring colleagues on best practices and technical concepts for building large scale solutions.