EvolutionIQ created the world's first fully AI-driven claims guidance platform for the most sophisticated insurance carriers in the world. Our platform makes insurance more fair, transparent and affordable.

The Adventure: We're the leading AI Guidance Platform company in the insurance industry today, working with some of the largest insurance companies in the US and expanding globally. We are growing rapidly, having started just four years ago, and have almost tripled our company size this year alone. We excel at converting pilots to production deployments, and we have a unicorn path ahead. Our technology has helped tens of thousands of people.

About You: A data expert who thrives in dealing with ambiguous decision-making problems, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets – helping to define our Product and Machine Learning strategy based on your data insights. You love innovation and making an immediate impact – and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. Ambiguity isn’t a challenge but a chance for you to define and narrow a problem space independently. You’re supercharged by having interesting, unsolved problems continually present themselves.

Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data. The ideal candidate will ensure EIQ tells excellent stories through data that clearly and accurately communicate the impact and ROI of our products internally and externally. Additionally, you will partner with product managers to do rapid iterations on new product ideas and validate hypotheses in data leading to increase the speed of new product development significantly.

In This Role, You Will:

• Support the decision-making of EvolutionIQ’s leadership team in high stake situations using all internal and external data sources
• Uncover new product research directions (hypothesis generation)
• Create data insights to win clients by helping define and build the sales & marketing narrative
• Present results to internal and external stakeholders
• Generate meta-analysis across clients to drive product & sales strategies
• Build, own, and standardize client-facing analysis and reporting on mature products
• Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.
• Write efficient and reliable relational database queries, write design documents, write clean & maintainable code for reproducible analytics, perform code reviews, and maintain state-of-the-art engineering practices.
• Continue to grow and learn in the data & ML space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.

Requirements:

• 5+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments
• Sophisticated knowledge of statistics, linear & non-parametric models, and advanced SQL engineering experience
• Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., data studio), and familiarity with standard statistical packages and visualization tools
• Skilled data illustrator who makes market-ready graphs, slides, figures, and presentations
• Excellent communication, storytelling, and presentation skills
• Proven understanding of Product and Business analytics, fundamentals, and processes
• Proven ability to synthesize data insights into actionable recommendations

Even Better if You Have:

• Experience in Bayesian statistics and causal inference methods
• Designed, implemented, and analyzed A/B or multi-arm experiments
• Written production quality code for reproducible analytics pipelines
• Creativity and resourcefulness with an appetite to solve previously unsolved problems