Data Science Lead Jobs in San Jose, CA
Data Science Lead jobs in San Jose are in strong demand, concentrated in North San Jose, Downtown, and the Santana Row corridor, across semiconductor, enterprise software, and AI infrastructure sectors. Employers hiring right now include TikTok, Adobe, and University of Bay Area. Find a role that fits below and apply directly.
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Our vision is to transform how the world uses information to enrich life for all.
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
Welcome to Micron’s Engineering team, where we focus on building best-in-class solutions that drive innovation and success. Our collaborative environment encourages bold ideas and empowers individuals to make an impact.
As a Data Science Intern, you will work on ground breaking artificial intelligence and machine learning initiatives that enhance product development and optimization. This role is ideal for someone motivated to learn, contribute to real-world projects, and grow in a dynamic, supportive environment.
Responsibilities
- Build and apply AI and ML solutions to support product development, validation, and optimization.
- Collaborate with engineering teams to identify domain challenges and develop advanced data analysis methods.
- Know the latest with emerging data science techniques and apply them to solve complex problems.
- Engage in mentorship and learning opportunities with industry experts.
Minimum Qualifications
- Currently pursuing a Bachelor’s, Master’s, or PhD in Data Science, Computer Science, or a related field, or equivalent experience.
- Knowledge of predictive modeling, statistics, regression analysis, and deep learning through coursework.
- Proficiency in programming languages such as Python, PyTorch, TensorFlow, or R.
- Strong written and verbal communication skills in English.
Preferred Qualifications
- Experience developing and deploying data science solutions, including data engineering, ML algorithms, UI/UX, and ML Ops.
- Familiarity with Large Language Models (LLMs), including fine-tuning, prompt engineering, and performance evaluation.
- Understanding of agentic AI systems for autonomous workflows and task orchestration.
The US base salary range that Micron Technology estimates it could pay for this full-time position is:
Additional compensation may include benefits, bonuses and equity.
Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.
As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
To learn about your right to work click here.
To learn more about Micron, please visit micron.com/careers
US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)
Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.
Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.
AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.
Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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Find Data Science Lead JobsData Science Lead Job Market in San Jose
Who's Hiring
- TikTok61

- Adobe14

- University of Bay Area14U
- eBay7

- Capital One7

Top Industries Hiring
- Technology & Software27
- Fintech7
- Banking & Financial Services7
Data Science Lead Jobs in San Jose: Frequently Asked Questions
How do I get a data science lead job in San Jose?
The most direct path is targeting San Jose's dense cluster of semiconductor, cloud infrastructure, and enterprise software employers, particularly those headquartered in North San Jose and the Golden Triangle corridor. Candidates who demonstrate hands-on experience with large-scale ML pipelines or product analytics stand out here. Building a portfolio tied to high-volume data problems, and connecting with local technical meetups, sharpens your competitiveness in this specific market.
Which companies hire data science leads in San Jose?
Employers hiring data science leads in San Jose right now include TikTok, Adobe, and University of Bay Area, based on current listings on Migrate Mate as of November 2026. San Jose's hiring landscape skews heavily toward established tech firms, semiconductor companies, and enterprise software organizations with large internal data platforms.
Are there remote data science lead jobs in San Jose?
Yes, though availability depends on the role's scope, since data science leads overseeing live production systems or embedded research teams often require regular on-site presence. About 22% of data science lead openings tied to San Jose are remote or hybrid as of November 2026, reflecting the analytical and collaborative nature of the work. Modeling, reporting, and strategy functions are the most commonly offered remotely by San Jose employers.
How can I get a data science lead job in San Jose with little or no experience?
The most realistic entry path is moving into a senior individual contributor data scientist role at a mid-size San Jose tech or semiconductor firm before stepping into a lead position. Employers in the North San Jose industrial corridor and Downtown SaaS companies frequently hire analytically strong candidates into senior IC roles with a growth track. Contributing to internal tooling projects or owning a high-visibility metric at your current company accelerates the transition locally.
Which industries hire the most data science leads in San Jose?
The sectors hiring the most data science leads in San Jose are Technology & Software, Fintech, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. San Jose's concentration of semiconductor design, cloud services, and enterprise technology companies drives sustained demand for data science leadership across product, operations, and research functions.
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