Lead Data Scientist Job at Smith Hanley Associates, San Mateo, CA

dndvT2o5bTNLRHhWditYZkw5RzA4K0h6dFE9PQ==
  • Smith Hanley Associates
  • San Mateo, CA

Job Description

Lead Data Scientist

San Francisco, CA (Hybrid – 3 days/week)

Salary: $170-190,000 base + equity

Contact: dwilberschied@smithhanley.com

A fast-growing, tech-driven healthcare platform is seeking a Lead Data Scientist (AI/ML) to help build and scale next-generation AI products that support medical professionals at scale.

The Opportunity

You’ll work with massive, real-world datasets to design, optimize, and evaluate AI-driven products used by healthcare professionals nationwide. This role sits close to product and leadership, with the opportunity to influence both technical direction and product strategy.

What You’ll Do

  • Build, train, and optimize machine learning and AI models powering core product features
  • Work with large-scale datasets to generate insights and improve model performance
  • Partner with product, engineering, and analytics teams to define and execute data-driven initiatives
  • Design and implement experimentation frameworks to evaluate model and product performance
  • Translate complex technical outputs into clear, actionable insights for stakeholders
  • Contribute to the broader data and AI strategy, helping shape future product direction

What We’re Looking For

  • Strong foundation in statistics, including experimentation, probability, and exploratory analysis
  • 5+ years of experience in data science, machine learning, or related roles working with large, complex datasets
  • Hands-on experience building and deploying machine learning models in production
  • Experience with modern ML techniques, including deep learning and LLMs (e.g., fine-tuning, evaluation)
  • Proficiency in Python and SQL, with strong coding and data manipulation skills
  • Experience with scalable data processing (e.g., distributed systems, large-scale pipelines)
  • Ability to communicate technical insights clearly to non-technical stakeholders
  • Strong product mindset with a focus on driving measurable impact

Why This Role?

  • Work on AI products with real-world healthcare impact
  • Access to large-scale, proprietary datasets
  • Highly collaborative, product-driven environment
  • Opportunity to shape AI strategy at scale
  • Competitive compensation: $170K–$248K total comp (base + equity)

Job Tags

3 days per week

Similar Jobs

Adventist Health

RN, Lead Care Manager, Full-Time Day Shift Job at Adventist Health

 ...Memorial Montebello has a 70-year history of providing quality healthcare to the community. We are comprised of a 192-bed hospital, wound care medical office and surgical and laboratory services. The greater Los Angeles area is known for its art, rich culture, numerous... 

Two Trees Management Co.

Front Desk Concierge - Luxury Residential Job at Two Trees Management Co.

 ...industrial waterfront to a thriving mixed-use community. Notable projects include: 325 Kent, One South First, Ten Grand, 300 Ashland, Mercedes House, Wythe Hotel, Jane's Carousel, and most recently the development of the Domino Sugar Factory site. Two trees solely develops... 

Belcan

Assembler (2nd Shift) - Welder Job at Belcan

 ...small teams to fit up sheet metal parts to assemblies using dedicated fixtures, scribe, and grind to fit. Use resistance spot welder to pre-assemble parts prior to applying braze for oven brazing. Use hand tools and power tools, such as hammers, metal... 

LEDVANCE

Jr. Graphic Design Packaging (Contract) Job at LEDVANCE

 ...design files systematically for easy access and updates. QUALIFICATIONS Proficient in Adobe Creative Cloud with emphasis in Illustrator and Photoshop (including image compression, file correction, and optimization techniques). Working knowledge of Microsoft... 

Ntag Miami Navy Recruiting

U.S. Navy Diver (Enlisted) Job at Ntag Miami Navy Recruiting

Navy Divers (NDs) have accomplishments that are nothing short of legendary. Their prowess is untouched. In the world of deep-sea exploits...  ...pay. Must be a United States citizen to apply. Must be 30 years old or younger to apply. This is not a civilian position.