or apply directly on EvolutionIQ's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 19 days EvolutionIQ's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 70% of EvolutionIQ's roles list one
- Ghost-job risk at EvolutionIQ
- high 13 stale, 0 reposted of 20 open
- Hiring momentum
- 25 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from EvolutionIQ's own greenhouse board since 2026-08-03. Full hiring picture for EvolutionIQ.
About this role
As a Staff Data Scientist at EvolutionIQ, you will leverage data and models to support decision-making for internal stakeholders and clients in the insurance sector. Your role involves analyzing complex datasets, generating insights, and collaborating with engineering and product teams to drive product development and measure ROI. You will also mentor junior analysts and ensure high-quality analytics practices are maintained across projects.
- benefits
- 4/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of EvolutionIQ as an employer.
What you need
- 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)
Nice to 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
What you get
- Base salary range up to $250K, with flexibility depending on background and experience
- Annual bonus plan and company equity plan (RSUs) included
- Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching
- Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers)
- Flexible schedule for new parents returning to work
- Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend
Worth weighing
- No specific technologies or frameworks mentioned beyond Python and SQL, which may limit exposure to newer tools
- The role involves significant responsibility in mentoring and leading projects, which may not suit all candidates
- The job requires handling ambiguous decision-making problems, which may be challenging for some
- The company is in a growth phase, which can mean changing priorities and responsibilities.
Summarised from EvolutionIQ's posting. Read the full original.
Listed by EvolutionIQ on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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