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Find Data Jobs in California (NOW HIRING)

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 ...

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 ...

Senior Data Scientist

San Jose, CA · On-site

$179K - $212K/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 ...

Senior Data Engineer, Find My

Cupertino, CA · On-site

$130K - $177K/yr

We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. You will translate analytics needs from Data ...

Senior Data Engineer, Find My

Cupertino, CA · On-site

$130K - $177K/yr

We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. You will translate analytics needs from Data ...

We embrace continuous iteration and improvement, so you'll have the opportunity to learn, grow, and refine your skills as we build the future of Find My. You will translate analytics needs from Data ...

... to-find data sets. • Build relationships with engineering teams, manufacturing vendors, and domain experts in different geographies. • Implement QA systems and review loops to ensure data ...

Revenue lost: CRM data is "garbage in, garbage out" and CRM's data visualization / drill-down ... Find collapses that stack into one surface, with sellers searching for companies and people that ...

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Find Data information

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.

Infographic showing various Find Data job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 13 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.