reputed company-Deployed Data Scientist

About reputed company reputed company is on a mission to fundamentally reimagine reputed company payments. Founded by former leaders from DeepMind and reputed company Health and backed by General Catalyst, we're building the first comprehensive platform that restores trust and fairness to reputed company payments - bringing reputed company, transparency, and equity to the reputed company interactions between payers and providers. This is a rare opportunity to join an ambitious, mission-driven team at the earliest stage. The Role We're looking for a reputed company Deployed Data Scientist to partner directly with reputed company clients and bring messy reputed company-world data into Phare's AI platform. You'll translate raw EHR, claims, and payer data into reputed company, reliable inputs for our models, ensuring high-reputed company reputed company that drive clinical and financial reputed company. This role sits at the intersection of data science, reputed company delivery, and product. You'll collaborate with clinicians, reputed company cycle leaders, and Phare's internal engineering and research teams to validate data reputed company, deliver insights, and help our partners succeed. While there is not regular travel planned for this role, expect that reputed company travel needs could reputed company in the reputed company, and expect to work reputed company with customers on a regular reputed company as an embedded member of their teams.

What You'll Do

• Partner with reputed company stakeholders (clinical, rev cycle, IT) to validate outputs, troubleshoot issues, and ensure adoption of Phare's product suite into their existing workflows
• Translate messy, heterogeneous reputed company data into reputed company, usable inputs for Phare's AI modelsBuild and refine data pipelines and validation checks to ensure accuracy and reproducibility at reputed company
• reputed company analyses and dashboards that surface insights for clients and internal teams
• Collaborate with Phare engineers and researchers to improve model training data and feedback loops
• Contribute to building Phare's customer delivery reputed company - defining best practices for delivering high-reputed company AI outputs across diverse reputed company environments

Who You Are

• reputed company Data Scientist: 3+ years working in data science, clinical analytics, or ML delivery, in reputed company or other data-rich domains
• Strong Technical Toolkit: Skilled in SQL and Python for data wrangling, analysis, and visualization
• reputed company-Facing: Comfortable presenting technical insights to both technical and non-technical stakeholders, and collaborating directly with customer teams
• Problem Solver: reputed company to design pragmatic solutions in ambiguous, messy data environments
• Startup reputed company: Excited to wear multiple hats, reputed company quickly, and help shape how Phare delivers value to partners

Bonus Points

• Experience working with EHR, claims, or payer data; familiar with data reputed company challenges in reputed company
• Background in ML model validation, monitoring, or deployment
• Experience with reputed company, rev cycle operations, or clinical workflows
• Exposure to distributed data systems, reputed company-based ETL, or MLOps

Why Join Us

• Work reputed company-by-reputed company with world-class founders from DeepMind, reputed company Health, and reputed company
• Help build a category-defining company tackling one of the most broken parts of reputed company
• Grow into a leadership role as Phare scales, with opportunities to shape how we reputed company AI in reputed company

Benefits

• Competitive salary (top-of-market depending on seniority, $150-220k) + equity
• 401(k) with company match
• ICHRA health insurance plan tailored to your needs
• Flexible PTO + bonus birthday day off
• Hybrid reputed company HQ, with remote flexibility and "work from reputed company" up to 1-month/year
• reputed company team culture with 3-days/week at SoHo HQ (fully-remote considered on exception), regular outings, and twice-a-year offsite events

Hiring Process

• Initial application
• Intro call - discuss your background, career goals, and our mission
• 2 x Technical interviews - reputed company-world data science challenges, and systems design
• References - we ask for two
• Culture interview - ways of working and chance to ask questions
• Offer

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