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Data Science Associate Jobs in Napa, CA (NOW HIRING)

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$110 - $160/hr

This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science.

Hayden AI

Associate Data Scientist

San Francisco, CA · On-site

$120K - $156K/yr

This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science.

Hayden AI

Associate Data Scientist

San Francisco, CA

$69K - $70K/yr

This is a great opportunity for someone who wants to deliver a big impact: you'll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science.

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Data Science Associate information

See Napa, CA salary details

$65.2K

$77.1K

$146.2K

How much do data science associate jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data science associate in Napa, CA is $77,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,900.00 and $67,400.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What are the most commonly searched types of Data Science jobs in Napa, CA?

The most popular types of Data Science jobs in Napa, CA are:

What job categories do people searching Data Science Associate jobs in Napa, CA look for?

The top searched job categories for Data Science Associate jobs in Napa, CA are:

What cities near Napa, CA are hiring for Data Science Associate jobs?

Cities near Napa, CA with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Napa, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,120 per year, or $37.1 per hour.

Associate Data Scientist

Hayden AI

San Francisco, CA • On-site

$110 - $160/hr

Other

Re-posted 15 days ago

Job description

About Us

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.

From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Job Summary:

Hayden AI seeks a Data Scientist to support a diverse set of stakeholders with Data and Analytics needs. This is a great opportunity for someone who wants to deliver a big impact: you’ll be supporting the Data Science team and operate at the intersection of Data Engineering, Analytics and Data Science. You will work with transit agencies, the customer success team, finance, product, company executives, and engineers. You will enable all of them to get their data questions answered in a timely manner with a high accuracy.

Responsibilities:

  • Create and improve standardized metrics from foundational datasets using dbt models and AWS Glue jobs

  • Create and improve compelling data stories, visualizations and dashboards based on stakeholder and UX feedback

  • Create data reports that answer ad hoc requests from cross-functional teams for impact analyses, anomaly investigations and root cause analyses, etc.

  • Serve as first responder for data discrepancy and freshness issues.

  • Translate business questions into data requirements, acting as the interface between customer-facing teams and the data team.

  • Monitor data quality and completeness in data processing steps across multiple fleets, flagging issues and driving fixes.

  • Support data scientists by preparing datasets, performing exploratory analysis, and providing review and feedback on team analyses.

  • Communicate findings and recommendations clearly to both technical and non-technical stakeholders.

Required Qualifications:

  • Master's in Data Science, Statistics, Computer Science, Economics, Transportation Engineering, or a related field.

  • 6+ months of Data Science related work, projects or internships.

  • Strong SQL skills and experience working with data warehouse systems such as Amazon Redshift, Google BigQuery, or Snowflake.

  • Strong knowledge of Python for data manipulation and analysis (e.g., Pandas, NumPy).

  • Experience with dbt, AWS Glue, or similar data transformation and pipeline tools.

  • Experience building and maintaining dashboards in BI tools such as Tableau or Looker.

  • Solid understanding of descriptive statistics and ability to interpret analytical results.

  • Strong communication skills with the ability to present findings to both technical and business audiences.

Preferred Qualifications:

  • Previous experience working with geospatial analytics and spatial datasets.

  • Experience with large-scale time-series and mobility datasets (e.g., GTFS, GPS traces, transit logs).

  • Experience with Grafana or similar operational monitoring tools.

  • Exposure to cloud platforms, especially AWS.

  • Prior experience in a startup environment and a desire to make a significant impact.

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