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Anti-Data Scientist

Job in Fresno, Fresno County, California, 93650, USA
Listing for: Waterlily Caregiving Inc.
Full Time position
Listed on 2026-06-05
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

Location
:
Remote (Waterlily HQ is based on San Francisco, CA)
About Us

Waterlily uses AI to help families prepare for the largest financial and medical event in their lives, long-term care (LTC). Through comprehensive care planning and optimization, Waterlily is bending Americas multi-trillion dollar LTC cost curve.

Our Team & Culture

We've built a high-performance team culture based on three core principles:

  • We're deeply committed to transforming how families prepare for long-term care
  • Every team member genuinely believes in our mission and understands its importance
  • We prioritize work that drives meaningful impact for our customers and company
  • We make decisions swiftly while remaining thoughtful and open to iteration
  • We focus on execution and results rather than just effort, recognizing that input doesn't necessarily equal output
  • We value team members who show unlimited potential for growth and understanding

Radical Transparency & Support

  • We practice direct, honest communication while maintaining empathy and respect
  • Feedback flows freely in all directions - from intern to leadership and back
  • We begin meetings with brief check-ins to understand each other's context
  • We create safe spaces for vulnerability and authentic collaboration
  • We maintain high standards while supporting each other's growth and wellbeing

Our team comprises some of the brightest, most ambitious, playful, and friendly people youll meet. Youll be working closely with our founding Waterlily team, including Lily, Evan, and Tim, and have direct access to a support team in the Philippines.

Lily Vittayarukskul
, our CEO, is a patented inventor who started college at 14, attending UC Berkeley, was working at NASA when she was 16, and lead product and engineering at IoT medical device startups for years before founding Waterlily.

Evan Ehrenberg
, our COO, is a member of Forbes 30 Under 30, started college at 11, also attending UC Berkeley, and then continued on to his Ph.D. in computational neuroscience at MIT at 16 before dropping out at 21 to found Clara Health, a clinical trials SaaS platform and B2B2C marketplace, which he sold 7 years later before joining Waterlily.

Our founding engineer and data scientist,
Tim Chung
, holds a Masters of Computer Science from UPenn and is midway through a Data Science Masters at Georgia Tech. Tim excels in a trio of roles: data scientist, machine learning engineer, and full-stack software engineer. At his previous companies, he led teams to launch pioneering machine learning models.

How We Work
  • We optimize for remote-first collaboration while maintaining high productivity
  • We emphasize contextual decision-making and practical solutions
  • We prioritize deep work and focused execution over unnecessary meetings
  • We consistently validate that we're working on the highest-impact initiatives
  • We maintain a healthy, growth-oriented mindset while pushing for exceptional results

We're looking for teammates who share our values of integrity, empathy, and intelligent hard work - people who can see beyond their immediate role to understand both company needs and customer impact.

We're seeking a talented full-stack data scientist who embodies our values of resilience, execution focus, and mission-driven innovation. The ideal candidate isn't just a skilled data scientist they're a builder who sees beyond code to understand the larger business and human impact of their work.

  • You have a track record of rapidly learning new technologies and business domains
  • You see challenges as opportunities and adapt quickly to changing priorities
  • You're comfortable with ambiguity and can make swift, informed decisions
  • You have a history of building solutions that challenge traditional approaches
  • You can point to specific examples where you've used automation or AI to multiply your impact
  • You focus on getting things done rather than achieving perfection on the first try
  • You have experience or strong interest in leveraging LLMs and offshore teams as force multipliers

Leadership & Communication

  • You give and receive direct feedback with grace and professionalism
  • You can clearly explain complex technical concepts to non-technical stakeholders
  • You're comfortable leading…
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