Job description

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! About You : As a Staff Data Scientist on the Data Science & Insights team, you will 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, striving 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 Engineering & Product 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 About You (Key Competencies): 7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions. Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience. Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development. Proficient in the use of Python, pandas, Jupyter notebooks, and SQL-based analytics dashboards (e.g., Google’s DataStudio / Looker or Tableau), and familiarity with standard statistical packages and visualization tools in Python. 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 Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed. Even Better if You Have: PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions. Experience in Bayesian statistics and causal inference methods Written production quality code for reproducible analytics pipelines Work-life, Culture & Perks: Compensation: The base salary range is up to $250K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits. Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Requirements

Must-haves

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.
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
7+ years of data analysis/quantitative experience, preferably within Machine Learning and Product environments
At least 2 years experience in mentoring or tech-leading junior analysts and business-critical analytics projects
Masters degree in statistics or equivalent quantitative field with strong focus on applied, data-driven solutions.
Sophisticated knowledge of statistics, linear & non-parametric modeling, and advanced SQL engineering experience.
Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development.
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
Proven ability to handle large datasets via SQL and/or map-reduce analytics and data aggregation as needed.
PhD in statistics or related quantitative field with strong focus on applied, data-driven solutions.
Experience in Bayesian statistics and causal inference methods
Written production quality code for reproducible analytics pipelines
Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

mlmachine learningsqlpython

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Paid Time Off

Parental Leave

Wellness

Professional Development