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Temporary 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.

We have an opening for a Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

New

Data Scientist

Livermore, CA · On-site

$9.8K/wk

We have an opening for a Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

We have an opening fora Data Scientist to provide solutions for various projects ... You will work in a dynamic, multidisciplinary team of independent/entrepreneurial computer ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

Data Scientist

San Francisco, CA · On-site

$90.14 - $112.68/hr

Data Scientist Full-time San Francisco, CA, US You'll be joining Adobe on a contract opportunity ... Bachelor's degree in a quantitative field (Computer Science, Math/Statistics, Economics, Physics ...

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 ...

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 ...

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 ...

New

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 ...

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 ...

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Temporary Computer Data Scientist information

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

AspectTemporary Computer Data ScientistTemporary Data Analyst
Required CredentialsBachelor's or higher in CS, Data Science, or related; often some experience with machine learningBachelor's in Statistics, Math, or related; proficiency in data visualization and basic analysis
Work EnvironmentTech companies, research labs, or consulting firms; project-based rolesBusiness, finance, marketing sectors; supporting decision-making processes
Employer & Industry UsageUsed across tech, healthcare, finance; often in innovative or R&D projectsCommon in corporate settings, retail, and marketing departments

Temporary Computer Data Scientists focus on advanced analytics, machine learning, and predictive modeling, requiring more technical expertise. Temporary Data Analysts primarily handle data collection, cleaning, and basic analysis to support business decisions. While both roles involve working with data, Data Scientists typically require stronger programming and statistical skills, whereas Data Analysts focus on reporting and visualization.

Can I get a temporary computer data scientist job with no experience?

Temporary computer data scientist roles typically require some experience in data analysis, programming, or related skills such as Python, R, or SQL. Entry-level positions may be available for those with relevant coursework, certifications, or strong analytical aptitude, but most employers prefer candidates with prior experience or demonstrated skills.

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 Temporary Computer Data Scientist jobs?

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

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 16 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.