San Francisco's data science job market is booming in July 2025, with salaries often exceeding $250,000 per year.
Top companies, such as Coinbase, Roche, and Salesforce, are hiring for high-impact roles.
AI, product strategy, and cloud skills are in high demand.
San Francisco stands tall as a powerhouse for data innovation. The city offers unmatched opportunities in data science, with top tech and biotech companies hiring aggressively. Roles range from entry-level to executive leadership, with salaries that reflect the growing demand for top talent.
This July, San Francisco’s data science job market is booming. Major employers, including Coinbase, Roche, Salesforce, and Mastercard, are offering lucrative roles that combine analytics, product strategy, and machine learning. From AI research to crypto wallet analytics, the openings highlight the region's commitment to data-driven progress.
Coinbase is seeking a Staff Data Scientist for its Wallet division. This role focuses on Python and SQL-driven analytics for the company’s crypto products. The salary ranges from $207,000 to $244,000, placing it among the highest-paying remote opportunities in the Bay Area.
Roche leads the hiring wave with three senior positions. These include a Director of Data Science role offering up to $398,300. Responsibilities span AI product leadership and pharma analytics. Other roles, such as Principal and Senior Data Scientist, pay between $177,000 and $385,000 per year. These positions demand expertise in AI, machine learning, and team leadership.
Salesforce is hiring for enterprise data science projects with a strong focus on ML and cloud computing. The company offers salaries up to $236,500, making it one of the top corporate employers for data roles this month.
Harnham is recruiting a Director of Data Science to lead product growth strategies in San Francisco. This role pays between $240,000 and $275,000 per year. Another role, Staff Data Scientist – Product Growth, focuses on experimentation and analytics, offering a salary of up to $220,000.
Mastercard is offering up to $221,000 for a Senior Data Engineer in San Francisco. This role focuses on data pipeline architecture and analytics infrastructure, showing the growing importance of data engineering in shaping product ecosystems.
Most roles prioritize core technical skills. These include Python, SQL, machine learning, and distributed systems. Cloud computing and advanced analytics are also key requirements. For leadership roles, AI product management stands out as a critical skill.
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The average salary for a data scientist in San Francisco now ranges between $166,949 and $272,000. Senior professionals and the top 10% of earners make over $282,000 annually. Roles involving product ownership, R&D, and team leadership often exceed $300,000 in compensation.
The ones charging these packages are a mixture of big-box and niche players. Coinbase and Roche continue to lead hiring activities, while Salesforce and Mastercard assume enterprise-level innovation roles. Job listing platforms indicate ongoing hiring activities at Google and other Fortune 500 companies.
San Francisco attracts a diverse range of talent with the convergence of technology, biotechnology, and finance. Unicorns, mature companies, and innovation labs create opportunities, making it a very dynamic job market. Hiring remains high, despite economic changes, driven by the adoption of AI and automation.
The actual duties of data roles in 2025 are far beyond simple analytics. They are closely tied to strategy formation, product development, and revenue generation. It is that one-of-a-kind Bay Area ecosystem that allows professionals to grow laterally across various domains, including healthcare, fintech, and cloud systems.
Any data scientist who intends to take the next step in their career will tell you that San Francisco provides unparalleled opportunities. The jobs pay well, offer advancement opportunities, and progress to a culture of high innovation. Current hiring trends indicate a strong demand for skilled individuals who can spearhead the development of the next wave of AI- and data-driven products.
Top companies are looking for more than just analysts. They need thinkers, builders, and leaders. With salaries crossing $250,000 in many cases, now is the time to apply. Data science in San Francisco is not just a job. It's a gateway into shaping the future of AI, finance, health, and global tech.
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Q.1) What is the average salary of a data scientist?
Ans. In the U.S., the average salary of a data scientist is around $120,000 per year. Salaries vary by experience, company, and location.
Q.2) What is data science?
Ans. Data science combines statistics, coding, and machine learning to extract insights from data. It helps businesses make smarter, data-driven decisions.
Q.3) Where can I apply for data science jobs?
Ans. You can apply on platforms like LinkedIn, Glassdoor, Indeed, and Kaggle Jobs. Also, check company career sites directly.
Q.4) How do I prepare for data science job interviews?
Ans. Study common questions on statistics, algorithms, machine learning, and real data problems. Practice coding tests and explain your project experience clearly.
Q.5) How long does it take to learn data science?
Ans. With consistent effort, it takes around 6–12 months to gain entry-level data science skills, depending on prior experience and learning pace.