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Staff Data Scientist (Insurance Tech)

Pay
Pay amount needs review — pay source
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.
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Work setting
Not stated
Employment
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Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
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.
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What you’ll work on

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

From the employer’s posting
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
Education & alternatives
- 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
Apply at EvolutionIQ

Posting record

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Status in our records
Live
First seen by us
Aug 30, 202666 days ago
Recorded sightings
33
Last seen by us
Nov 4, 2026
Employer says posted
Aug 28, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

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.

Time since we first saw it

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.

EvolutionIQ is hiring

5 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • Looker
  • Tableau
  • pandas
Where the posting names them
- 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:

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About the role

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.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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.



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Pay
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.
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

Work authorization
- 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.

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