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Head Data Scientist Jobs in San Ramon, CA (NOW HIRING)

Snorkel AI

Lead Data Scientist

San Francisco, CA · On-site +1

$130K - $200K/yr

Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI. Qualifications * 5+ years: data science or related experience, with a ...

Snorkel AI

Lead Data Scientist

San Francisco, CA · Hybrid

$130K - $200K/yr

Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI. Qualifications * 5+ years: data science or related experience, with a ...

PROPRIUS

Director Data Science

San Francisco, CA · On-site

The head of this new Data Science division will be expected to solve classic e-commerce problems; targeted advertising and marketing, recommendation systems, behavioral analytics and customer ...

AERDF

Head of Data & AI

San Francisco, CA · On-site

Summary AugmentED, an AERDF-supported AI and education initiative, seeks a Head of Data + AI to ... We're looking for a hands-on technical leader with deep expertise in AI and data science ...

AngelList

Head of Data

San Francisco, CA

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

AngelList

Head of Data

San Francisco, CA · On-site

About the Role We're hiring a Head of Data to turn AngelList's data into an unfair advantage ... For a growth-focused data scientist ready to do both, there aren't many roles like it.

MyOme

Machine Learning Scientist

San Francisco, CA

... data however they choose. Description MyOme is looking for a world-class machine learning scientist ... You will report to the head of research and development utilizing a world-class computational R&D ...

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All JobsHead Data Scientist JobsHead Data Scientist Jobs in San Ramon, CA

Head Data Scientist information

See San Ramon, CA salary details

$41.9K

$137.2K

$219.6K

How much do head data scientist jobs pay per year?

As of Aug 24, 2026, the average yearly pay for head data scientist in San Ramon, CA is $137,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 per year, depending on experience, location, and employer.

What is a head data scientist?

Head Data Scientists are senior professionals who lead data science teams in analyzing large datasets to extract insights, drive decision-making, and solve complex business problems. They set the strategic direction for data science initiatives, collaborate with other departments, and ensure that data-driven solutions align with organizational goals. In addition to overseeing technical work, they also mentor team members, manage projects, and often communicate findings to executive leadership.

What are the key skills and qualifications needed to thrive as a head data scientist?

A Head Data Scientist needs deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field. Proficiency with programming languages such as Python or R, cloud platforms, big data tools, and experience leading data science projects are crucial. Strong leadership, strategic thinking, and communication skills help guide teams and align data initiatives with business goals. These competencies ensure effective team management, innovative solutions, and measurable business impact from data-driven strategies.

How does a head data scientist typically balance hands-on technical work with leadership responsibilities?

As a Head Data Scientist, you'll often split your time between high-level strategy, team leadership, and advanced technical problem-solving. While you'll guide project direction, mentor junior scientists, and collaborate with stakeholders, you'll also be expected to stay engaged with the latest analytical techniques and occasionally contribute directly to model development or code reviews. Striking this balance requires excellent time management and the ability to delegate effectively while ensuring technical standards remain high. Regular communication with both your team and other departments is essential to align data initiatives with business goals.

What is the difference between Head Data Scientist vs Data Scientist?

AspectHead Data ScientistData Scientist
CredentialsMaster's or PhD in Data Science, Statistics, or related fieldsBachelor's or Master's in relevant fields
Work EnvironmentLeads teams, strategic planning, oversees projectsExecutes data analysis, builds models, reports findings
Industry UsageCommonly found in organizations with large data teamsWidespread across industries for data analysis roles

The Head Data Scientist focuses on leadership, strategy, and overseeing data initiatives, while the Data Scientist primarily handles hands-on data analysis and modeling. Both roles require strong technical skills, but the Head Data Scientist has additional responsibilities in team management and strategic planning.

What are the most commonly searched types of Data Scientist jobs in San Ramon, CA?

The most popular types of Data Scientist jobs in San Ramon, CA are:

What job categories do people searching Head Data Scientist jobs in San Ramon, CA look for?

The top searched job categories for Head Data Scientist jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Head Data Scientist jobs?

Cities near San Ramon, CA with the most Head Data Scientist job openings:

Head Data Scientist jobs near you

Lead Data Scientist

Snorkel AI

San Francisco, CA • On-site, Remote

$130K - $200K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago

Job description

About Snorkel
At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data.
We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes since 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler!
About the Role
This role is hybrid (3 days/week in office) in San Francisco,CA. Our Data & Analytics Platform team recently migrated from Redshift to Snowflake, enabled 100+ users, and centralized all business data in under three months. We are a lean team with a clear remit: ensure a single source of truth for all business data. With company-wide Snowflake adoption complete, we are hiring a Lead Data Scientist to expand our mandate to Generative AI Analytics and Snorkel's highest-leverage data science problems.
This is a senior individual contributor role with no direct reports; just ownership, autonomy, and impact from pioneering new insights and models and building our semantic layer, supply/demand matching algorithms, forecasting models, and other data science foundations that compound.
How you'll allocate your time (estimates subject to change):
  • 40%: Building and maintaining Generative AI Analytics
  • 40%: Critical-path data science projects
  • 20%: Partnering with Engineers, PMs, DaaS operational leads, and Finance
What You'll Do
  • Own Generative AI Analytics: Build and maintain end-to-end infra (semantic layer, LLM tooling, evals, and agents) to analytically empower every team at Snorkel.
  • Protect Quality: Work with Engineering and the Fraud Operations Lead to build, unify inputs for, and deploy fraud detection and contributor quality models.
  • Optimize Marketplace: Architect search, ranking, and recommendation models to match project needs for Expert Contributors across domains and geographies.
  • Improve Forecasting: Build predictive models to help Strategy & Operations and Finance elevate forecast accuracy with signals from across the business.
  • Identify Leverage: Surface the next high-value data science opportunities at Snorkel and build the case for their prioritization with the Head of Data.
  • Advise Leadership: Be a trusted thought partner to the Head of Data and leaders of other teams on data architecture, applied data science, and AI.
Qualifications
  • 5+ years: data science or related experience, with a track record of shipping forecasting, ranking, recommendation, or similar models into production.
  • Tech Stack: SQL, Snowflake or a similar data warehouse, and Python experience.
  • Modern AI Tools: Experience deploying modern AI tools (semantic layers, LLMs, evaluation frameworks) reliably into production.
  • Engineering Collaboration: Proven ability to partner with Engineering teams to bridge the gap from prototype to production system.
  • Agency: Strong track record of impact without a large team or detailed roadmap.
  • 0-to-1 Mindset: Comfortable building foundational systems from scratch in environments where data infrastructure is still maturing.
  • Partnership: Genuinely values engaging technical and operational stakeholders to fully understand a problem and build data-driven solutions.

Bonus Points: Experience with Streamlit, Snowflake Cortex, AI/data labeling, A/B testing, and two-sided marketplace or data product business models.
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Snorkel also includes benefits (including medical, dental, vision and 401(k)). All offers include equity compensation in the form of employee stock options. This role is hybrid (3 days/week in office) in San Francisco,CA.
Pay Range $130,000-$200,000
Be Your Best at Snorkel
Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success.
Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

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