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Data Science Jobs in Gilroy, CA (NOW HIRING)

eBay, Inc.

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

  • Medical

  • Retirement

  • PTO

Demonstrated success applying data science, optimization, and AI techniques to drive measurable business impact; familiarity with modern AI tools and LLMs is preferred. * Strong communication and ...

Jobsbridge

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Company Description Intelliswift Software, Inc 5+ years of experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience leverating R, or Excel for ...

Cypress HCM

Data Scientist

San Jose, CA

$105.63/hr

The Express Growth Data Science team is looking for a dynamic and versatile data scientist to drive product-led growth for Adobe Express. You will employ data to deeply understand Adobe Express ...

Netflix

Data Science Manager - Engineering

Los Gatos, CA

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We're looking for an accomplished data science and analytics leader to lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics ...

Netflix

Data Science Manager - Engineering

Los Gatos, CA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

What you'll do We're looking for an accomplished data science and analytics leader to lead a diverse team of talented, senior individual contributors who are experts in the fields of analytics ...

Walmart

(USA) Principal, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Closely partner with the Senior Manager and Director of Data Science to drive data science adoption in the domain. * Guide data scientists, senior data scientists, and staff data scientists across ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities:

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

The ideal candidate will have a strong background in machine learning and data science and a proven track record of deploying models and algorithms for real-world applications. Job Responsibilities:

Adobe

Senior Manager, GTM Data Science

San Jose, CA · On-site

$141K - $185K/yr

You will lead a team of data scientists and partner closely with Marketing, Finance, Product, Sales, and GTM leaders to drive measurable business outcomes. What You'll Do * Lead, mentor, and develop ...

Adobe

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

The Opportunity Adobe is looking for a Senior Manager, GTM Data Science to lead customer and business analytics for Adobe's Creative Professional portfolio, spanning Creative Cloud All Apps, flagship ...

Adobe Systems

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

The Opportunity Adobe is looking for a Senior Manager, GTM Data Science to lead customer and business analytics for Adobe's Creative Professional portfolio, spanning Creative Cloud All Apps, flagship ...

New

Roku

Senior Data Scientist

San Jose, CA · On-site

$179K - $212K/yr

  • Medical

  • Life

  • PTO

You will collaborate cross-functionally with product, engineering, and business stakeholders to align data science initiatives with organizational goals. The ideal candidate brings deep curiosity ...

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Showing results 21-40

All JobsData Science JobsData Science Jobs in Gilroy, CA

Data Science information

See Gilroy, CA salary details

$39.7K

$129.9K

$207.9K

How much do data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science in Gilroy, CA is $129,888.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,200.00 and $143,900.00 per year, depending on experience, location, and employer.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What does a data scientist do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

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

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. The role requires skills in programming, statistics, and machine learning, and job growth is expected to continue as organizations expand their data capabilities.

What jobs can a data scientist do?

A data scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.
More about Data Science jobs

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

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

What are popular job titles related to Data Science jobs in Gilroy, CA?

For Data Science jobs in Gilroy, CA, the most frequently searched job titles are:

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

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

Data Science jobs near you
Infographic showing various Data Science job openings in Gilroy, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $129,888 per year, or $62.4 per hour.

Data Science - Analyst 4

eBay, Inc.

San Jose, CA • On-site

$149K - $199K/yr

Full-time

Medical, Retirement, PTO

Re-posted 18 days ago

eBay rating

8.5

Company rating: 8.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

13th of 734 rated retailers

Job description

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.
Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.
About the team and the role:
The Shipping Analytics team drives eBay's most important shipping initiatives through data-driven insights, advanced analytics, AI, and experimentation. As a global, fast-paced team, they are focused on making shipping at eBay more reliable, accurate, affordable, and seamless for sellers and buyers around the world.
This role is an opportunity for a hands-on analytics leader to operate as a strong individual contributor while leading a small team across high-impact initiatives in eBay's shipping ecosystem. The person in this role will use data, experimentation, and AI to help launch and scale managed shipping solutions, optimize carrier routing, improve delivery performance, and increase adoption of eBay labels. Working closely with Product, Business, Finance, and Engineering partners, they will translate complex logistics data into clear strategies that improve reliability, reduce cost, and grow label profitability globally.
What you will accomplish:
  • Apply advanced analytics, AI, and experimentation to solve complex business problems and improve eBay's domestic and cross-border shipping experience.
  • Drive the growth and optimization of eBay's managed shipping and label platform by defining success metrics, measuring impact, and identifying opportunities to scale globally.
  • Build predictive models and carrier rate simulations that improve shipping cost, delivery speed, reliability, and sustainability across carrier networks.
  • Identify friction across the seller shipping and label purchase journey, uncover customer pain points, and recommend product and business improvements that increase label adoption.
  • Design, execute, and evaluate experiments to inform decisions on product features, pricing, and policy, while partnering cross-functionally to turn insights into measurable outcomes.
  • Develop scalable data pipelines, dashboards, and AI-powered monitoring solutions that enable faster decisions, improve operational visibility, and detect performance issues in real time.

What you will bring:
  • Bachelor's degree in Engineering, Computer Science, Economics, Statistics, Mathematics, or another quantitative field; advanced degree or MBA is a plus.
  • 8+ years of experience in data science, analytics, or a related quantitative role, with a track record of independently leading high-impact initiatives end to end.
  • Strong technical skills in SQL, Excel, and data visualization tools, with working knowledge of Python or R.
  • Experience in product analytics, experimentation, A/B testing, and causal inference, with the ability to translate analysis into business action.
  • Demonstrated success applying data science, optimization, and AI techniques to drive measurable business impact; familiarity with modern AI tools and LLMs is preferred.
  • Strong communication and collaboration skills, with the ability to work effectively across Product, Engineering, Finance, and business teams in a fast-paced environment; experience in logistics, shipping operations, or carrier performance analytics is a plus.

Additional Details
The base pay range for this position is expected in the range below:
$149,200 - $199,200
Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.
Remote roles are not eligible for U.S. visa sponsorship.
eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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