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Temporary Computer Data Scientist Jobs in California

PROPRIUS

Data Scientist

Sunnyvale, CA

$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 ...

Apex Informatics

Data Scientist

Pleasanton, CA · On-site

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 ...

Apple

Data Scientist

Cupertino, CA · On-site

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 ...

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 ...

NextDeavor Inc.

Data Scientist

San Francisco, CA

$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 ...

NextDeavor Inc.

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 ...

Vianai Systems

Data Scientist

Palo Alto, CA

$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 ...

Cypress HCM

Data Scientist

San Jose, CA

$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 ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

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 ...

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 ...

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

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 ...

Booz Allen Hamilton

Data Scientist, Mid

San Diego, CA · On-site

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 ...

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

Temporary Computer Data Scientist information

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at age 40. Success in data science depends on skills, experience, and continuous learning of tools like Python, R, and machine learning techniques, regardless of age. Many professionals transition into data science later in their careers and find opportunities with relevant certifications and a strong portfolio.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data subsets, or models to improve efficiency and outcomes.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is preferred, candidates with relevant coursework, internships, or certifications can sometimes qualify for such roles.

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.

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:
Temporary Computer Data Scientist jobs near you

Data Scientist

Structure Therapeutics

South San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Structure Therapeutics develops life‐changing medicines for patients using advanced structure‐based and computational drug discovery technology. We are seeking a highly motivated Data Scientist with strong software engineering skills to join the Biometrics and Data Management group, focusing on developing novel data science tools to support evolving business needs and improve patient outcomes.
Responsibilities:
• Enhance the existing platforms by contributing to the development, validation, deployment, and ongoing maintenance.
• Develop and validate data science tools for clinical research, and trial optimization.
• Ensure the scalability, maintainability, and reliability of analytical solutions through software engineering best practices (e.g., testing, documentation, CI/CD pipeline).
Qualifications:
Required:
• Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
• Minimum of 10 years of Data Science experience with a Bachelor’s degree, 8 years with a Master’s, or 4 years with a Ph.D., including at least 3 years of hands-on experience developing production-grade software in programming languages such as Python or R.
• Demonstrated understanding of software architecture, performance optimization and validation.
• Strong expertise in Machine Learning and Deep Learning techniques (e.g., Scikit-learn, TensorFlow, or PyTorch).
• Familiar with data visualization tools such as ggplot2. Plotly, Matplotlib or Seaborn.
• Strong analytical thinking and problem-solving skills.
• Experienced with Github.
Preferred:
• Master’s or Ph.D degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related field.
• Experience with cloud-computing platforms (AWS, GCP, or Azure) and containerization (e.g., Docker).
• Experience with creating Large Language Models (LLMs) and GenAI based solution in production environment.
• Experienced in designing and implementing CI/CD pipelines.
Company:
Structure Therapeutics specializes in the discovery and development of drugs against a type of targets called GPCR. Founded in 2016, the company is headquartered in South San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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