$100,000–$230,000
Senior Data Scientist
Posted by Bonfire Analytics · open on Ashby as of
$140,000–$190,000New York, NYOn-siteFull-time
A Senior Data Scientist will own customer-facing analytical work end to end, from scoping ambiguous questions through building pipelines and models to presenting findings.
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At a glance
Posted base pay
$140K–$190KBelow the median
Midpoint $165K · median $190K
Median $190K
This job$140K–$190KSenior FDE postings1,849 postings · middle 50% of posted pay$160K–$220KThe work
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The job description from Bonfire Analytics
Posted by Bonfire Analytics on
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 in our NYC, FiDi office preferred (the rest of the team is based in New York); open to remote for the right candidate
- ❤️ 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.
View posting at Bonfire Analytics
About Bonfire Analytics
Bonfire uses claims data and analytics to help healthtech companies identify high-value healthcare providers, markets, and referral pathways.
1–10 people
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