Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
New York, NY
Live, first seen by us 66 days agoWork-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.Read the full posting
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.Read the full posting
Design and analyze A/B and multi-arm experiments to measure product impact
Build and standardize client-facing analysis and reporting on product ROI
Run exploratory data analysis and hypothesis testing to find new product directions
Work with the ML team to analyze model impact and debug data issues
Present results to internal stakeholders and insurance industry clients
Designed, implemented, and analyzed A/B or multi-arm experiments with clear recommendations for product direction & development.
Build, own, and standardize client-facing analysis and reporting on existing products across multiple clients and ROI dimensions
Uncover new product research directions (hypothesis generation) through exploratory data analysis and hypothesis testing.
Work closely with the ML team to analyze the impact of modeling results, debug data issues, and communicate findings to colleagues and clients.
Present results to internal stakeholders as well as our clients in the insurance industry
- 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.
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
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 66
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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.
- 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:
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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):
About You (Key Competencies):
Even Better if You Have:
Work-life, Culture & Perks:
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
New York, NY
Working pattern and location restrictions need checking in the full posting.
- 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.