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Bonfire Analytics

AI-powered sales intelligence for healthtech leads

Staff Data Scientist

Data Science +1Updated on Nov 14
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of experience in a data science or advanced analytics role.
  • Strong SQL skills, including writing complex queries with joins, aggregations, window functions, and common table expressions.
  • Proficiency in Python for modeling, hypothesis testing, and predictive analytics.
  • Experience building or maintaining data pipelines at scale.
  • Daily use of AI tools to improve work.
  • Ability to sanity-check numbers before delivering them to customers and build habits that catch errors at scale.
  • Ability to present complex findings clearly to technical and executive audiences.
  • Comfort owning ambiguous problems without detailed instructions.

Responsibilities

  • Design and execute statistical analyses, predictive models, and data science workflows in Python and SQL to answer complex, ambiguous questions.
  • Build and improve Databricks pipelines and reusable data assets behind customer deliverables and products, working with billions of claims rows.
  • Use AI tools as a core part of data analysis and deliverable creation, and shape the analytical engine behind AI-powered products.
  • Set technical direction and quality standards for data science, identify patterns across customer engagements to develop new analytical products, and shape the company roadmap.
  • Scope customer projects from discovery through delivery and package findings into clear, customer-ready reports and presentations.
  • Work directly with customers and founders.
  • Help hire and mentor the team as it grows.

Desired Qualifications

  • Experience with Databricks or Spark.
  • Experience with medical or prescription claims, provider databases, or similar healthcare data.

About the Company

Bonfire Analytics

AI-powered sales intelligence for healthtech leads

Bonfire Analytics provides AI-driven sales intelligence for healthtech companies. It offers a subscription platform that delivers high-quality healthcare market leads and actionable analytics, helping clients grow their customer base while reducing costs. The platform uses AI to synthesize foundational healthcare market datasets and generate insights that let sales teams target the right prospects and allocate resources more efficiently. This differentiation comes from its focus on the healthcare market, its emphasis on data-driven lead quality and analytics, and its aim to deliver results at a fraction of traditional healthcare data costs. The company’s goal is to help healthtech firms scale their sales efforts, shorten sales cycles, improve ROI, and operate with leaner sales and marketing teams.

Company size
11-50
Company stage
Seed
Total funding
$3M
Headquarters
New York City, United States
Founded
2022

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