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

Walmart

Senior Director, Data Science

Milpitas, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... empower associates, and deliver measurable business outcomes. Within this org, the Retail ...

Walmart

Senior Director, Data Science

Cupertino, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... empower associates, and deliver measurable business outcomes. Within this org, the Retail ...

Walmart

Senior Director, Data Science

San Jose, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... empower associates, and deliver measurable business outcomes. Within this org, the Retail ...

Walmart

Senior Director, Data Science

Mountain View, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... empower associates, and deliver measurable business outcomes. Within this org, the Retail ...

Walmart

Senior Director, Data Science

Fremont, CA · On-site

$208K - $416K/yr

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite ... empower associates, and deliver measurable business outcomes. Within this org, the Retail ...

Walmart

(USA) Principal, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

Walmart

(USA) Principal, Data Scientist

Sunnyvale, CA · On-site

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

Walmart

(USA) Principal, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

Walmart

(USA) Principal, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

Walmart

(USA) Principal, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption ... Partner and engage with associates in other regions to deliver the best services to customers ...

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Showing results 1-20

All JobsData Science Associate JobsData Science Associate Jobs in Campbell, CA

Data Science Associate information

See Campbell, CA salary details

$66.6K

$78.7K

$149.3K

How much do data science associate jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data science associate in Campbell, CA is $78,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $68,900.00 per year, depending on experience, location, and employer.

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 can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

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.

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 are the most commonly searched types of Data Science jobs in Campbell, CA? The most popular types of Data Science jobs in Campbell, CA are:
What cities near Campbell, CA are hiring for Data Science Associate jobs? Cities near Campbell, CA with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Campbell, CA as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $78,749 per year, or $37.9 per hour.

Associate Fraud Risk Data Scientist

5 Star Global Recruitment Partners

San Jose, CA • On-site, Remote

$69K - $69K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Associate Fraud Risk Data Scientist

San Jose, California, United States

Associate Fraud Risk Data Scientist

We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Data Science Team within the Risk Data & AI Innovation Org. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. This position requires a person who has experience with machine learning, model development with cutting edge AI/ML frameworks, performing analytics, statistical analysis and model monitoring. Experience with LLMs and other AI tools would be a big plus.

We'd love to chat if you have:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, ie Tableau.
  • Comfortable with ambiguity and yet able to steer AI and machine learning projects toward clear business goals, testable hypotheses, and action-oriented outcomes
  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact.
  • Desirable to have experience or aptitude solving problems related to risk using data science and analytics
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Key Job Functions:

  • Design and develop machine learning and AI models detect/mitigate fraud
  • Support stakeholders and cross-functional teams in effective usage of models
  • Drive AI transformation for all risk management activities at BILL
  • Work with product/engineering to implement, monitor and refine AI solutions and models

Expected Outcomes:

  • Work closely with team members and stakeholders to consult, design, develop, and manage fraud models and AI solutions.
  • Utilize data analysis to design and implement fraud models
  • Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud models and AI solutions that operate at scale and in real time for end customers.
  • Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.
  • Development of dashboard and visualizations to track KPI of fraud models implemented

Preferred Skills:

  • Machine Learning & Artificial Intelligence
  • Data Science
  • Model development
  • Dashboard Creation
  • Project Management
  • Strong Communication Skills.

Notes from Hiring Manager:

  • Strong SQL proficiency
  • Experience applying statistics and data science to tackle intricate business challenges especially in Fraud mitigation
  • Proficiency in AWS Quicksight and Tableau
  • This is a hybrid position, so candidates must be based in the San Jose area. HM will entertain remote candidates if no viable local candidates can be sourced.
  • Strictly contract to cover multiple leaves over a 1 yr. period.
  • Potential to extend based on business need and performance.
  • Day shift: M-F Pacific time
  • Multiple Zoom interviews (2-3) SQL assessment during 1st interview.

MUST HAVE:

  • 2-6 years of experience in machine learning/AI, data science, risk analytics & data analysis within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or investigation/product abuse.
  • Bachelors/Master's degree in Data Science, Data Analytics, Mathematics, Statistics, Data Mining or related field or equivalent practical experience
  • Experience using statistics and data science (machine learning & AI) to solve complex business problems
  • Proficiency in SQL, Python, AWS, Excel including key data science libraries
  • Proficiency in data visualization including Tableau
  • Experience working with large datasets
  • Bonus: Experience with development and implementation of AI tools (e.g. LLMs) for risk use cases.

Apply