Data Science Engineer Jobs in San Jose, CA
Data Science Engineer jobs in San Jose are concentrated in North San Jose, Downtown, and the Santana Row corridor, with demand running high across semiconductor, cloud infrastructure, and enterprise software sectors. Employers actively hiring include TikTok, Adobe, and eBay. See the openings below and apply to the ones that match your experience.
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Responsibilities
About the Team
We're the TikTok Monetization Products Data Science team, enabling and championing data-driven decision-making. Our vision is to become a 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 through data science. We are looking for talented individuals to join our team. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must be able to commit to an onboarding date by the end of the year. Please state your availability and graduation date clearly in your resume.
Responsibilities:
- Work with large and complex datasets to solve challenging business problems using a range of analytical methods.
- Design, analyze, and interpret projects end-to-end, from data requirement gathering and data processing to modeling and developing impactful business recommendations.
- Partner with cross-functional teams to identify new opportunities that leverage advanced analytical and modeling techniques.
- Design, execute, and interpret experiments, including A/B testing, to generate actionable insights.
- Communicate insights and recommendations effectively to team leadership and influence strategic decision-making.
Qualifications
Minimum Qualifications
- Individuals who are completing or have recently completed a PhD degree in a quantitative field, such as Economics, Statistics, Applied Mathematics, Engineering, Computer Science, or Business Analytics.
- Experience with data querying and manipulation using SQL, Python, or R.
- Experience with data analysis using a scripting language such as Python, R, or MATLAB.
Preferred Qualifications
- Internship or project experience in data science.
- Research experience in data science.
- Experience working with cross-functional teams.
- Ability to learn quickly, work independently, and solve problems creatively.
- Strong sense of ownership and ability to translate analytical insights into business impact.
- Strong collaboration and communication skills, with the ability to work effectively in a fast-paced, culturally diverse, and globally distributed team environment.
Job Information
【For Pay Transparency】Compensation Description (Annually)
The base salary range for this position in the selected city is $95000 - $216000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
- Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
- Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems;
- Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day. We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request
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Find Data Science Engineer JobsData Science Engineer Job Market in San Jose
Who's Hiring
- TikTok45

- Adobe28

- eBay11

- TikTok USDS Joint Venture11

- Capital One6

Top Industries Hiring
- Technology & Software45
- Fintech6
- Banking & Financial Services6
- E-Commerce & Online Marketplaces6
Data Science Engineer Jobs in San Jose: Frequently Asked Questions
How do I get a data science engineer job in San Jose?
Focus your search on North San Jose and the Alviso corridor, where semiconductor firms, networking companies, and cloud platform teams concentrate most of their engineering hiring. Candidates with hands-on experience in ML pipelines, large-scale data infrastructure, or real-time analytics systems stand out in this market. Familiarity with the tools and tech stacks common in silicon design or cloud workloads gives you a clear edge over generalist applicants.
Which companies hire data science engineers in San Jose?
Employers hiring data science engineers in San Jose right now include TikTok, Adobe, and eBay, based on current listings on Migrate Mate as of August 2026. San Jose's hiring base skews heavily toward established semiconductor manufacturers, networking hardware firms, and large-scale cloud and enterprise software organizations with deep engineering teams.
Are there remote data science engineer jobs in San Jose?
Yes, though availability depends on the role type. About 8% of data science engineer openings tied to San Jose are remote or hybrid as of August 2026, reflecting the analytical and software-heavy nature of much of this work. Roles focused on modeling, pipeline development, and reporting tend to be the most remote-friendly, while positions tied to hardware data or on-site infrastructure labs typically require in-person presence.
How can I get a data science engineer job in San Jose with little or no experience?
The most realistic entry path in San Jose is targeting data engineering or analytics engineering roles at mid-size software companies and enterprise tech firms, which often hire junior candidates with strong Python, SQL, and cloud fundamentals. Internship-to-hire pipelines at large semiconductor and networking companies are another common route. Building a portfolio of data pipeline or ML infrastructure projects and contributing to open-source tooling used locally helps candidates compete without a long work history.
Which industries hire the most data science engineers in San Jose?
The sectors hiring the most data science engineers in San Jose are Technology & Software, Fintech, and Banking & Financial Services, based on current listings on Migrate Mate as of August 2026. San Jose's position as the core of Silicon Valley means those sectors have deep, permanent engineering headcount rather than cyclical project-based demand.
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