Staff Data Scientist

About Us: EvolutionIQ’s mission is to improve the lives of injured and disabled workers and enable them to return to the workforce, saving billions of dollars in avoidable costs and lost productivity to the US and global economies and make insurance more affordable for everyone. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row!

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: As a data-enthusiast on the team, you serve as the analytics expert for your internal stakeholders, using data & models to help them make better decisions. You thrive in dealing with ambiguous decision-making problems, small & big data modeling and insight generation, both for clients and internal stakeholders. You’ll explore and analyze new datasets as we enter new markets and quickly make critical recommendations for your fellow team-mates in Engineering and Product Management.  You love diving deep into hard analytical questions, strive in answering ambiguous open ended questions with clear data-driven insights and recommendations. You’re supercharged by having interesting, unsolved problems continually present themselves and inform both the technical as well as business side of the business for critical decisions.  You demonstrate ownership and leadership to build out the analytical muscle at EvolutionIQ and demonstrate value by clearly shaping the path of new developments and high ROI initiatives.

Your Impact: You will work closely with the ML team and Product Managers to improve our team and clients' understanding of claims data; you work closely with business stakeholders to leverage internal data that demonstrates product ROI and give them mission-critical insights to steer the company in new high ROI directions. The ideal candidate will ensure EIQ tells excellent stories through data & modeling 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, scope the business opportunity of new product features, and measure ROI of ongoing user engagement with a variety of products.

What You'll Achieve (Performance Outcomes): 

• Support the decision-making of EvolutionIQ’s leadership team in critical recommendations such as which product features we should build as they lead to highest projected ROI or measuring impact of existing product through sophisticated experimental design setups that best leverage the user feedback we have on challenging small data, high variance outcome problems.
• Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing.
• Create data insights to win clients by helping define and build the sales & marketing narrative 
• Present results to internal stakeholders as well as our clients in the insurance industry
• Generate meta-analysis across clients to drive product & sales strategies
• Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions
• 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, create re-usable dashboards, write design documents, write clean & maintainable code for reproducible analytics via CLI tools, perform code reviews, and maintain state-of-the-art engineering practices.
• Continue to grow and learn in the data & analytics space, focusing on business problems that require making sense of large-scale structured and unstructured datasets.
• Oversee the integration of cross-organizational projects, drive improvements and recommendations for your engineering and product counterparts, and define operational goals and objectives.
• Provide direction and accomplish results for business leaders through solving hard measurement problems that impact business bottom line