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Find Data Science

Data Scientist

San Francisco, CA

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 ...

Jobtailor

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical ...

Goldbelt, Inc.

Epidemiology Data Manager

GA · Remote

Goldbelt Professional Services is seeking an Epidemiologist/Data Manager that will support the study of and factors contributing to the spread of diseases and work to find data-based solutions to ...

Goldbelt, Inc.

Epidemiology Data Manager

Goldbelt Professional Services is seeking an Epidemiologist/Data Manager that will support the study of and factors contributing to the spread of diseases and work to find data-based solutions to ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical ...

Roku

Senior Data Scientist

San Jose, CA · On-site

$159K - $204K/yr

Apply creative problem-solving to find data proxies when direct measurement is unavailable * Stay current on advancements in AI, machine learning, and data science to inform team best practices What ...

Roku

Senior Data Scientist

San Jose, CA · On-site

$159K - $204K/yr

... to find data proxies when direct measurement is unavailable * p]:inline" data-streamdown="list-item">Stay current on advancements in AI, machine learning, and data science to inform team best ...

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$46K

$165K

$243.5K

How much do find data jobs pay per year?

As of Aug 25, 2026, the average yearly pay for find data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Find Data vs Data Analyst?

AspectFind DataData Analyst
Required CredentialsTypically requires a basic understanding of data collection and analysis tools, often with a degree in a related fieldUsually requires a degree in statistics, mathematics, or related fields, with certifications in data analysis tools
Work EnvironmentOften involves data gathering, research, and preliminary analysis, working in research or data collection settingsFocuses on interpreting data, creating reports, and providing insights, working in business or corporate environments
Employer & Industry UsageUsed in research firms, data collection agencies, and initial data gathering rolesEmployed across industries like finance, marketing, healthcare, and technology for data-driven decision making

Find Data primarily involves collecting and preparing data for analysis, while Data Analysts interpret and analyze data to generate insights. Both roles are essential in data workflows but differ in focus and skill requirements.

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Cities with the most Find Data job openings:

What states have the most Find Data jobs?

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Find Data jobs near you
Infographic showing various Find Data job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

San Francisco, CA

Find Data Science
See more jobs at Find Data Scienceexternal

Full-time

Posted 19 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.