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Data Science Jobs in Gilroy, CA (NOW HIRING)

Data Science Engineer

San Jose, CA

$134K - $161K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This ...

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

New

(USA) Director, Data Science

San Jose, CA · On-site

$169K - $338K/yr

As the Director of Data Science, you will lead the development and deployment of advanced analytical models and data strategies that drive business value across multiple domains. This role requires ...

Data Science Engineer

San Jose, CA · On-site

$134K - $161K/yr

This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Engineering team, you will have significant ...

As the Senior Director of Data Science for Commerce Foundational Models , you will lead an elite, high-caliber engineering and data science team dedicated to building Walmart's next-generation ...

AI Data Science Domain Expert Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative ...

Our Vision is to become the world class data science team, where data is used rigorously to drive all decision making. Our Mission is to drive monetization and sustainable revenue growth for TikTok ...

Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions * Apply statistical, machine ...

Responsibilities : • Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions • Apply ...

Responsibilities : • Partner across the company with Product, Engineering, Marketing, Sales, Finance and Data Science teams to shape product strategy using rigorous scientific solutions • Apply ...

Data Science - Analyst 4

San Jose, CA · On-site

$149K - $199K/yr

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 ...

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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.

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:

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 Engineer

Adobe

San Jose, CA

$134K - $161K/yr

Full-time

Re-posted 22 hours ago


Adobe rating

8.9

Company rating: 8.9 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

39th of 245 rated software companies


Job description

The Challenge

In Adobe finance, we strive to introduce thefinanceof the future! We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ground-breaking, predictive techniques for forecastingcustomer retention metrics, units,andARR. This role is fitting for an individual who enjoys working with,cleaningand manipulating large datasets, and can derive insights using statistical and machine learning models. This positionmaintainslots of exposure to cross functional organizations and access to senior management.

Whatyou'lldo

A Finance Data Scientist withinAdobe'sCreativity & ProductivityFP&A (Financial Planning and Analysis)teampartners withfinance and businessstakeholders tounderstand, andthendevelop and enhance the existingor proposedforecastingprocess,optimizingand refining byleveragingautomation andAI/ML techniques.

This rolehasthe opportunity topresentandshowcasefindings and improvements to senior leadership, which is unique for this type of role infinanceorganizations.

In our team,we'recommitted to delivering actionable insights in a manner that isaccurateand efficient. This rolerepresentsan end-to-end data scientist involved in everyfacetof every project such as data cleaning, predictive modeling, and storytelling. The typical day involves the following activities:

  • Drive data science modeling initiatives for forecasting and analysis

  • Automate, enhance, andmaintainanalytic applications and data structures used for modeling and forecasting

  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously "Create the Future" and further enhance forecast algorithms

  • Work with the PowerBI team to deliver requirements to create andmaintaindashboards tracking key indicators

  • Partner with Financeand otherteamsto build data science models to solve a wide breadth of businesschallenges

  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities

  • Analyze data toidentifyor resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.

  • Prepare analytical reports to document financial models and data processes.

  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes

  • Capture, synthesize, and interpret disparate quantitative data within the context of businessobjectives,identifytrends, and explore data through segments and cohorts

  • Be a change agent, ensuring users adopt new and innovative technologies

What you need to succeed

  • Strongproficiencyin SQL andPython;R is a plus.

  • Experience indata cloudplatform(eg.Databricks,AWS, Snowflake)

  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis

  • Proficiencywith data visualization tools (e.g.Power BI, Tableau)

  • Experience exploringlarge amountsof information, extracting insights, and achieving real-world results

  • Ability to dig-in, understand the data, and to use creative thinking and problem-solving skills aremusts

  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders

  • Degree ina quantitative fieldlike statistics, economics, applied math, operations research or engineering preferred, or related work experience

  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus

  • Understanding of Version Control frameworks such as GitHub is a plus

  • Knowledge of customer cancellation forecasting and cohort retentionis a plus

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.

Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We're on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.


Let's Adobe together

At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.

Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.

Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI - and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it's restricted during live interviews. See how we think about AI in the hiring experience.

Expected Pay Range:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $133,100 -- $236,400 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. In California, the pay range for this position is $163,200 - $236,400 In Washington, the pay range for this position is $157,900 - $228,575

At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

State-Specific Notices:

California:

Fair Chance Ordinances

Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and "fair chance" ordinances.

Colorado:

Application Window Notice

If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

Massachusetts:

Massachusetts Legal Notice

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.


What Adobe employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Adobe logo

About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982