Staff Data Scientist - Insurance Tech: ROI & Insights

EvolutionIQ

New York (NY)

On-site

USD 150,000 - 250,000

Full time

14 days+

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Benefits offered by this job

Annual bonus
Equity (RSUs)
Medical/dental/vision
Parental leave
Technology stipend
Catered lunches

Job summary

EvolutionIQ is seeking a Staff Data Scientist to act as analytics expert for internal stakeholders and clients. You will drive data-driven decisions, build insights from large datasets, and partner with engineering and product teams to scale analytics across offerings.

You will mentor junior analysts, design experiments, and create dashboards that communicate ROI and product impact to stakeholders and clients in the insurance space.

Qualifications

  • 7+ years in data analysis/quantitative roles, ML or product context.
  • Masters in statistics or equivalent with applied data focus.
  • Strong SQL, Python, and data visualization skills.
  • Experience mentoring or leading junior analysts.
  • Ability to design and interpret experiments with clear insights.

Responsibilities

  • Lead analytics initiatives for leadership with ROI-focused outcomes.
  • Partner with ML, product, and engineering teams on data-driven decisions.
  • Create client-facing data stories and dashboards to drive adoption.
  • Design and analyze experiments, interpret results for product direction.
  • Build reusable analytics pipelines and maintainable code.

Skills

Data analysis
Mentoring
Statistical modeling
SQL engineering
Python
Pandas
Jupyter
Communication

Education

Masters in statistics
PhD in statistics (bonus)

Tools

SQL
Python
Tableau / Looker

Job description

EvolutionIQ is seeking a Staff Data Scientist to act as analytics expert for internal stakeholders and clients. You will drive data-driven decisions, build insights from large datasets, and partner with engineering and product teams to scale analytics across offerings.

You will mentor junior analysts, design experiments, and create dashboards that communicate ROI and product impact to stakeholders and clients in the insurance space.

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