or apply directly on Evolve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Evolve's roles stay open a median of 37 days
- Reposted
- No
- Salary listed
- Yes 86% of Evolve's roles list one
- Ghost-job risk at Evolve
- high 3 stale, 0 reposted of 7 open
- Hiring momentum
- 10 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 Evolve's own greenhouse board since 2026-08-03. Full hiring picture for Evolve.
About this role
As a Staff Data Scientist at Evolve, you will lead the development of data and machine-learning products that enhance owner acquisition, retention, and pricing strategies. Your role involves turning ambiguous business opportunities into robust production systems, building and operating ML systems end-to-end, and collaborating with various teams to integrate models into workflows. You will also mentor other data scientists and set technical standards for the team.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 5/5
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 Evolve as an employer.
What you need
- Typically 8+ years applying data science, statistics, econometrics, or machine learning to consequential business problems.
- Evidence of Staff-level scope in leading ambiguous, cross-functional data science or ML work from idea through sustained production use.
- Expert-level Python and SQL skills, including the ability to design, write, test, and maintain production-quality code.
- Expert-level applied modeling and model-evaluation judgment.
- Experience owning production ML systems end to end, including deployment, monitoring, and iteration after launch.
- Hands-on experience with modern data and ML infrastructure such as Snowflake, dbt, and practical MLOps.
Nice to have
- An advanced degree in a quantitative field, or equivalent depth demonstrated through applied work.
- Experience in demand forecasting, dynamic pricing, revenue management, or econometrics.
- Experience in marketplace, travel, or hospitality domains where models influence high-frequency operating decisions.
- Experience with NLP, LLM, voice, or other unstructured-data products.
What you get
- Annual base salary range: $180,000–$195,000, depending on relevant experience.
- Equity and a variable annual bonus based on company and individual performance.
- 401(k) with a 4% immediate vesting match.
- 16-18 weeks of paid parental leave for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
- Comprehensive medical, dental, and vision plans, with 100% employer-paid dental and vision for individual coverage.
- 10 free mental health visits and pet insurance.
Worth weighing
- No specific mention of remote work restrictions beyond certain states, but applicants must live in approved locations by their first day.
- The role requires a hands-on approach, which may not suit those looking for a purely strategic position.
Summarised from Evolve's posting. Read the full original.
Listed by Evolve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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