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Bonfire Analytics

Senior Data Scientist

Posted One Month Ago
In-Office
New York City, NY, USA
140K-190K Annually
Senior level
In-Office
New York City, NY, USA
140K-190K Annually
Senior level
Own end-to-end data science projects, including customer discovery, statistical analysis, predictive modeling, Python and SQL development, Databricks pipelines, AI-enabled analytics, quality checks, and customer presentations. Build reusable data assets at claims-data scale and contribute to Bonfire’s AI-powered products. The role requires rigorous analysis, strong communication, customer empathy, and comfort working with ambiguous problems.
The summary above was generated by AI

Bonfire's mission is to accelerate the adoption of healthcare technology and treatments for the patients who need them most. We do this by fueling healthtech companies (including digital health, medical device, and biotech) in their commercialization and go-to-market strategies through leveraging advanced analytics built on top of comprehensive, feature-rich datasets.

 
About the Role

We're looking for a Senior Data Scientist to join our lean and formidable team as one of our earliest hires. You'll own analytical problems end to end: scoping the question with a customer, building the pipelines and models that answer it, checking every number, and presenting what you found. You'll work directly with customers and the founders, and your work will shape both our customer deliverables and the analytical engine behind our AI-powered products. As Bonfire grows, so does the scope of this role.

The problems are ambiguous, the data is messy, and the bar for what we ship is high. We're looking for someone smart, scrappy, rigorous with numbers, fluent with AI tools, and comfortable owning problems that don't come with instructions.

 
Your Responsibilities
  • Advanced analytics & modeling - design and execute statistical analyses, predictive models, and data science workflows in Python and SQL to answer complex, ambiguous questions

  • Build the data foundation - develop and improve the Databricks pipelines and reusable data assets behind our customer deliverables and products, working at the scale of billions of claims rows

  • Work AI-first - use AI tools as a core part of how you analyze data and build deliverables, and help build the analytical engine behind Bonfire's AI-powered products

  • Own customer outcomes - scope projects from discovery through delivery and package findings into clear, customer-ready reports and presentations

  • Raise the bar - build the checks, standards, and reusable methods that keep our numbers trustworthy as the volume of work grows

 
Your Experience
  • 3+ years in a data science or advanced analytics role

  • Strong SQL skills with experience writing complex queries (joins, aggregations, window functions, CTEs)

  • Proficiency in Python for modeling, hypothesis testing, and predictive analytics

  • Experience building or maintaining data pipelines; Databricks or Spark is a plus

  • AI-forward by habit: you already use AI tools daily to work faster and better, and you're excited to keep pushing what they can do

  • Rigor by default: you sanity-check every number before it goes to a customer and build habits that catch your own errors at scale

  • Excellent communicator with genuine customer empathy; you present complex findings in plain language to both technical and executive audiences

  • Experience with medical or prescription claims, provider databases, or similar healthcare data is a plus

 
Our Offer
  • 💰 $140K-$190K + 0.05%-0.2% equity

  • 🚀 Significant ownership with autonomy to shape how we deliver value to customers

  • 📈 High career growth potential as Bonfire grows

  • 🏙️ In-person or hybrid in our NYC, FiDi office (the rest of the team is based in New York)

  • ❤️ Collaborative, mission-driven culture focused on improving healthcare outcomes

 

We are unable to sponsor work visas at this time; candidates must be authorized to work in the United States.

HQ

Bonfire Analytics New York, New York, USA Office

25 Broadway, New York, NY, United States, 10004

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