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Data Science Research Jobs in California (NOW HIRING)

Swayable

Research Data Scientist

San Francisco, CA · On-site

Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

The AI Product's Data Science org is at the center of the next generation of products at Figma ... This org engages closely with AI Research and is a driving force behind our evals work and the ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Wehave multiple openings for a Data Science Engineer with a background in applied machine learning ... Support building research prototypes and capabilities for critical infrastructure protection ...

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Data Science Research information

How does a data science researcher typically collaborate with other departments within an organization?

Data Science Researchers frequently work cross-functionally, collaborating with teams such as engineering, product management, and business analytics. They often translate complex research findings into actionable insights, guiding product development or business strategies. Regular meetings, joint project planning, and code reviews are common, ensuring that research outcomes align with organizational goals. Effective communication and teamwork are key to integrating advanced data solutions into real-world applications.

What do data science researchers do?

Data science researchers analyze large datasets to identify patterns, develop models, and generate insights that inform decision-making. They often use programming languages like Python or R, employ statistical methods, and work with machine learning algorithms to solve complex problems. Their work typically involves experimentation, data cleaning, and collaboration with other teams to apply findings effectively.

What is the difference between Data Science Research vs Data Analyst?

AspectData Science ResearchData Analyst
CredentialsTypically requires advanced degrees (Master's or PhD) in Data Science, Statistics, or related fieldsOften requires a Bachelor's or Master's degree in Data Analysis, Statistics, or related areas
Work EnvironmentResearch labs, academic institutions, or R&D departments within companiesBusiness environments, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutions, tech companies focusing on innovationRetail, finance, healthcare, and other industries focusing on data-driven decision making

Data Science Research focuses on developing new algorithms, models, and theories, often in academic or R&D settings. In contrast, Data Analysts primarily interpret existing data to generate reports and insights for business decisions. Both roles require strong analytical skills but differ in scope, goals, and work environment.

What are the key skills and qualifications needed to thrive as a data science researcher, and why are they important?

To thrive as a Data Science Researcher, you need strong analytical skills, expertise in statistics and machine learning, and an advanced degree in a quantitative field such as computer science, mathematics, or engineering. Proficiency with programming languages like Python or R, data visualization tools, and experience using platforms such as TensorFlow or PyTorch is typically required. Curiosity, creativity, and clear communication are essential soft skills for designing research questions, interpreting results, and sharing findings with diverse audiences. These skills and qualities are crucial for driving innovative solutions and impactful insights in data-driven environments.

What is data science research?

Data science research involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Researchers in this field work on developing new data analysis techniques, machine learning models, and data-driven solutions to solve complex problems. The work often includes designing experiments, analyzing large datasets, and publishing findings to advance the understanding of data science methodologies.
What are the most commonly searched types of Data Science Research jobs in California? The most popular types of Data Science Research jobs in California are:
What are popular job titles related to Data Science Research jobs in California? For Data Science Research jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Research jobs in California look for? The top searched job categories for Data Science Research jobs in California are:
What cities in California are hiring for Data Science Research jobs? Cities in California with the most Data Science Research job openings:
Data Science Research jobs near you
Infographic showing various Data Science Research job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Research Data Scientist

Swayable

San Francisco, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Swayable is a fast-growing AI and automated data science platform that measures public opinion and the impact of messages and advertising content on it. As a Research Data Scientist, you will conduct data science research, develop tools for insights in experimental data, and communicate findings to support major organizations.
Responsibilities:
• Conduct data science research to push our experimental methodologies to the bleeding edge of social science
• Develop robust tools to uncover insights in experimental data
• Prototype data science improvements to core platform features
• Communicate the results of data science investigations to both internal and external stakeholders
Qualifications:
Required:
• Fluency in the python data science stack
• Expertise in statistical, analytical, and data science methods
• Excellent communication and data visualization skills
• Ability to work independently, prioritizing multiple important tasks/deadlines
• A keen eye for the 20% of effort that delivers 80% of the results
• Being a flexible team player whose values align with ours
Preferred:
• Experience writing and reviewing production-quality python code.
• Experience working in a fast-moving startup environment
• Experience interacting with MongoDB databases
• Bachelors/Masters/PhD in data science, statistics, physics, mathematics, bioinformatics, computer science, or a related quantitative field.
Company:
Swayable is a creative testing platform that measures persuasion. Founded in 2017, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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