Data Science Manager Jobs in San Jose, CA
Data Science Manager jobs in San Jose are concentrated in North San Jose, Downtown, and the Alviso corridor, across semiconductor, cloud infrastructure, and enterprise software sectors. Employers hiring right now include TikTok, Adobe, and University of Bay Area. Scan the live roles below and apply to whichever ones fit.
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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 Manager JobsData Science Manager Job Market in San Jose
Who's Hiring
- TikTok62

- Adobe14

- University of Bay Area14U
- eBay7

- Capital One7

Top Industries Hiring
- Technology & Software27
- Fintech7
- Banking & Financial Services7
Data Science Manager Jobs in San Jose: Frequently Asked Questions
How do I get a data science manager job in San Jose?
The strongest path into a data science manager role in San Jose runs through the city's semiconductor and cloud infrastructure employers, which cluster in North San Jose and along the Great America Parkway corridor. Candidates who combine hands-on ML or analytics leadership with experience in high-throughput data environments stand out. Familiarity with the product and engineering culture common at large San Jose tech campuses gives applicants a clear edge over generalists.
Which companies hire data science managers in San Jose?
Employers hiring data science managers 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 toward large enterprise technology firms and semiconductor companies with dedicated data science organizations, alongside a growing number of mid-size cloud and analytics platform companies with offices in the city.
Are there remote data science manager jobs in San Jose?
Yes, though data science manager roles lean more hybrid than fully remote, since team oversight and cross-functional collaboration often require some on-site presence. About 22% of data science manager openings tied to San Jose are remote or hybrid as of November 2026, reflecting how broadly tech employers here have adopted flexible arrangements. Strategy, reporting, and model review work tends to be the most location-flexible portion of these roles in San Jose.
How can I get a data science manager job in San Jose with little or no experience?
The most realistic entry path is moving into a team lead or senior data scientist role at one of San Jose's mid-size analytics or semiconductor firms before stepping into a formal manager title. Many North San Jose tech companies promote internally from senior individual contributor roles. Building leadership experience by running cross-functional projects, mentoring junior analysts, or leading model deployment initiatives makes a candidate competitive for a first manager opening without requiring a prior manager title.
Which industries hire the most data science managers in San Jose?
San Jose data science manager roles concentrate in Technology & Software, Fintech, and Banking & Financial Services, based on current listings on Migrate Mate as of November 2026. San Jose's position as a center for semiconductor design and enterprise cloud infrastructure means data science managers here typically work on large-scale hardware performance data, supply chain analytics, or platform usage intelligence, which sustains consistent demand across those sectors.
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