Staff Data Scientist (Insurance Tech)

About the role

EvolutionIQ helps injured and disabled workers return to work and aims to make insurance more affordable. It is hiring a Staff Data Scientist on its Data Science & Insights team in New York. You will act as the analytics expert for internal stakeholders, using data and models to support decisions, and will work with Engineering and Product teams to turn claims data into clear insights and ROI evidence.

Key responsibilities

• Support leadership decisions on which product features to build and how to measure the impact of existing products, including experimental designs for small-data, high-variance outcomes
• Run exploratory data analysis and hypothesis testing to uncover new product research directions
• Create data insights that shape the sales and marketing narrative and present results to internal stakeholders and insurance clients
• Generate meta-analysis across clients to drive product and sales strategy
• Build, own and standardize client-facing analysis and reporting across products and ROI dimensions
• Partner with product managers on rapid iterations of new features and on measuring ROI of user engagement
• Work with the ML team to analyze modeling results, debug data issues and communicate findings
• Write efficient relational database queries, reusable dashboards, design documents and reproducible analytics code, and perform code reviews
• Lead cross-organizational projects, set operational goals and solve hard measurement problems that affect the business bottom line

Required profile

• 7+ years of data analysis or quantitative experience, preferably in machine learning and product environments
• At least 2 years mentoring junior analysts or leading analytics projects
• Masters degree in statistics or an equivalent quantitative field
• Proven product and business analytics experience, and ability to turn data insights into actionable recommendations
• Excellent communication, storytelling and presentation skills
• Nice to have: PhD in statistics, Bayesian statistics and causal inference experience, and production-quality code for reproducible pipelines

Required skills

• Sophisticated statistics, linear and non-parametric modeling, and advanced SQL
• A/B and multi-arm experiments
• Python, pandas, Jupyter notebooks
• SQL-based dashboards (Google DataStudio/Looker or Tableau)
• Handling large datasets with SQL and/or map-reduce analytics

What we offer

• Base salary up to $250K, plus annual bonus and RSU equity plan
• Medical, dental, vision, disability, life insurance and 401k matching
• Paid time off, sick leave and 100% paid parental leave
• Catered lunches, monthly technology stipend and tuition reimbursement
• Open to sponsoring visa transfers for eligible candidates