1

Manager Data Science H1B Jobs in California (NOW HIRING)

Manager, Data Science

San Francisco, CA · On-site

$221K - $320K/yr

Role We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across ...

About the Role We're hiring two Data Science Managers, each to lead a pod within Merchant Analytics and help shape high-priority product and business decisions. In this role, you will lead a team of ...

As part of theData Science and Engineering team, this role combines strategic leadership, technicalexpertise, and people management to deliver innovative data solutions while ensuring robust ...

New

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

The Manager Data Science is responsible for architecting, building, and deploying production-grade machine learning models, AI solutions, and data products while leading a team of advanced data ...

The role The Data Science team is seeking a Senior Manager who will help support growth in our SIPS businesses by improving SoFi's ability to execute with data. This is an exciting role for someone ...

As a Senior Manager Data Scientist, you will be an integral part of a multi-functional development team inventing, designing, building, and testing products that reach a truly global customer base.

... data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams. The Senior Manager will act as an internal data consultant to ...

... data science solutions that inform product strategy, enhance performance, and support innovation for internal Visa business teams. The Senior Manager will act as an internal data consultant to ...

next page

Showing results 1-20

Manager Data Science H1B information

What are some common challenges faced by a manager data science in leading cross-functional projects?

A Manager Data Science often encounters challenges such as aligning stakeholders with varying technical backgrounds, ensuring data quality across different sources, and balancing project timelines with evolving business needs. Effective communication is crucial when translating complex analytical findings into actionable insights for non-technical teams. Additionally, managing and mentoring a diverse team of data scientists while fostering collaboration with engineering, product, and business departments is key to driving successful project outcomes.

What is a Manager Data Science H1B?

A Manager Data Science H1B is a professional who oversees data science teams or projects for a company in the United States while working under an H-1B visa. This role typically involves managing data scientists, coordinating analytics projects, making strategic decisions based on data, and ensuring the delivery of actionable insights. The H-1B visa allows U.S. employers to temporarily employ foreign workers in specialty occupations such as data science management. The manager is responsible for project planning, mentoring team members, and collaborating with other departments to leverage data in business decisions.

What is the difference between Manager Data Science H1B vs Data Scientist H1B?

AspectManager Data Science H1BData Scientist H1B
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; experience in team managementBachelor's or Master's in Data Science, Statistics, or related field; technical skills focus
Work EnvironmentLeads data science teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, supports business decisions
Employer & Industry UsageUsed in organizations with data teams, tech companies, finance, healthcareCommon in tech firms, consulting, research institutions

The main difference between Manager Data Science H1B and Data Scientist H1B lies in their roles and responsibilities. Managers oversee teams and strategic projects, requiring leadership skills, while Data Scientists focus on technical analysis and modeling. Both roles require strong data skills and relevant education, but the managerial position emphasizes team management and project oversight.

What are the key skills and qualifications needed to thrive as a manager data science, and why are they important?

To thrive as a Manager Data Science, you need a deep understanding of statistical analysis, machine learning, and data engineering, typically supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or R, experience with data visualization tools (such as Tableau or Power BI), and familiarity with cloud platforms (like AWS or Azure) are commonly required, along with relevant certifications. Outstanding leadership, communication, and project management skills set top candidates apart by enabling them to lead cross-functional teams and translate complex data insights into actionable business strategies. These skills are crucial for driving data-driven decision-making and ensuring the successful delivery of analytics initiatives within an organization.

What are the most commonly searched types of Data Science H1B jobs in California?

The most popular types of Data Science H1B jobs in California are:

What are popular job titles related to Manager Data Science H1B jobs in California?

For Manager Data Science H1B jobs in California, the most frequently searched job titles are:

What job categories do people searching Manager Data Science H1B jobs in California look for?

The top searched job categories for Manager Data Science H1B jobs in California are:

What cities in California are hiring for Manager Data Science H1B jobs?

Cities in California with the most Manager Data Science H1B job openings:

Manager, Data Science

Whatnot

San Francisco, CA • On-site

$221K - $320K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 19 days ago


Job description

Join the Future of Commerce with Whatnot!
Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. Whether it's trading cards, fashion, electronics, or live plants, our sellers are building real businesses across hundreds of categories. We're building live commerce at a scale that's never been done in the West, and there's no playbook to copy. The people here are shaping how an entirely new industry develops.
As a remote co-located team, we're inspired by our values and anchored in hubs across the US, UK, Ireland, Poland, Germany, and Australia. We move fast, stay close to our users, and focus on the work that drives the most impact.
We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business and bring people together through commerce.
Join the Future of Commerce with Whatnot!
Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We're re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we're inspired by innovation and anchored in our values. With hubs in the US, UK, Ireland, Poland, and Germany, we're building the future of online marketplaces-together.
From fashion, beauty, and electronics to rare collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone.
And we're just getting started! As one of the fastest growing marketplaces, we're looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
Role
We're looking for a Manager, Data Science to lead a high-impact team working on core marketplace problems. In this role, you'll own measurement, experimentation, and analytical strategy across some of our most important growth, discovery, and ecosystem questions, helping drive durable, profitable GMV across the marketplace.
This is a hands-on leadership role. You'll manage and develop a strong team of data scientists while also staying close to the work yourself-shaping methodology, raising the quality bar, and helping the company make better product and investment decisions. Depending on business needs and candidate fit, this role may support buyer or seller domains.
  • Lead a team of data scientists working on high-impact marketplace problems across areas such as growth, discovery, incentives, ads, ranking, and ecosystem health
  • Build and operationalize strong measurement foundations, including KPI frameworks, dashboards, diagnostics, and recurring business review rhythms
  • Raise the bar for experimentation quality through better test design, guardrails, observability, and interpretation
  • Partner closely with Product, Engineering, Marketing, Finance, Trust & Safety, and other cross-functional teams on complex marketplace and growth problems
  • Drive analytical strategy for major product and business investments, helping teams understand performance, profitability, and tradeoffs
  • Support work on discovery, personalization, matching, and monetization across evolving parts of the marketplace
  • Improve how teams use data by building scalable frameworks, self-serve analytics, and high-quality analytical assets
  • Help your team adopt modern tooling, including AI-enabled workflows, to improve speed, leverage, and decision-making
  • Manage, coach, and develop high-performing data scientists while hiring thoughtfully as the business grows
  • Nice to have:
    • Experience in marketplaces, two-sided platforms, or live/social consumer products
    • Experience with incentives, pricing, LTV, ads, marketplace health, or ecosystem economics
    • Background in ranking, recommendations, personalization, or growth experimentation
    • Experience building approaches, tools, or methodologies that scaled beyond your immediate team

We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our New York, Seattle, San Francisco or Los Angeles hub.
You
People who do well at Whatnot tend to be comfortable figuring things out as they go, biased toward action, and genuinely curious about what they're building. They care more about outcomes than credit and stay close to the product and the people using it.
  • 7+ years of experience in data science, product analytics, experimentation, economics, or a related quantitative field
  • 2+ years of experience managing or tech-leading high-performing data scientists or quantitative teams
  • Strong hands-on foundation in analytics, experimentation, causal reasoning, and statistical methodology
  • Experience supporting consumer product, growth, marketplace, monetization, or ecosystem-focused teams
  • Track record of building measurement systems and analytical frameworks that improve decision quality
  • Strong product and business judgment, with the ability to connect detailed analysis to broader company outcomes
  • Ability to operate effectively in ambiguity and adapt quickly as priorities evolve
  • Strong communication and stakeholder management skills, including experience working cross-functionally with senior partners
  • Track record of coaching and developing strong individual contributors
  • Enthusiasm for modern data tooling and AI-enabled workflows that improve team productivity

Benefits
  • Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
  • Health Insurance options including Medical, Dental, Vision
  • Work From Home Support
    • Home office setup allowance
    • Monthly allowance for cell phone and internet
  • Care benefits
    • Monthly allowance for wellness
    • Annual allowance towards Childcare
    • Lifetime benefit for family planning, such as adoption or fertility expenses
  • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
  • Monthly allowance to dogfood the app
    • All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
  • Parental Leave
    • 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.