Staff Data Scientist

Evolve Vacation Rentals is hiring a Staff Data Scientist as an individual contributor to lead high-impact applied ML and data science work tied to data product initiatives. In this remote role, you will help drive production-grade machine learning from end to end, with direct impact on forecasting and pricing decisions.

What you’ll do

• Drive the technical direction and hands-on delivery for one or two prioritized applied ML or data science initiatives.
• Turn business opportunities into decision frameworks, technical approaches, clear success measures, and adoption and impact evaluation plans.
• Own end-to-end production ML systems, including data and feature pipelines, training and evaluation, batch or online inference, deployment, monitoring, failure handling, and ongoing iteration.
• Contribute to forecasting and demand/price-elasticity estimation, causal measurement, and optimization work that supports pricing and revenue decisions.
• Design and analyze experiments and quasi-experiments to evaluate product, model, and policy changes.
• Set reusable standards for testing, reproducibility, versioning, observability, documentation, and responsible model operation, and review team designs and code.
• Collaborate with Product, Engineering, Data Engineering, Revenue Management, and other business owners to make technical tradeoffs and integrate models into products and operating workflows.
• Mentor data scientists, strengthen the team’s technical judgment, and create leverage beyond your own projects while staying hands-on.

Requirements

• Typically 6+ years applying data science, statistics, econometrics, or machine learning to consequential business problems.
• Demonstrated Staff-level scope, including leading ambiguous cross-functional DS or ML work from early ideas through sustained production use, influencing technical direction beyond a single project, and building leverage for other contributors.
• Strong Python and SQL skills, with the ability to write tested, maintainable production code and work effectively with large datasets.
• Experience owning production ML systems, including deployment or scoring, monitoring, failure handling, operational support, and post-launch iteration.
• Applied statistics and model evaluation judgment, including experimentation and causal inference fundamentals, with experience contributing to economic or optimization work.
• Ability to connect technical decisions to business outcomes and communicate tradeoffs clearly to technical, product, business, and executive audiences.
• A self-directed, collaborative working style that supports prioritization across a broad problem space, direct feedback, influence without formal authority, and hands-on execution in a lean remote environment.

Tools and technologies

• Python, SQL, Snowflake, dbt

Compensation

• Annual base salary: USD 180,000 - 195,000, depending on relevant experience.
• Eligible for equity and a variable annual bonus based on both company and individual performance.

Benefits

• Industry-competitive pay, equity, and a 401(k) with a 4% immediate vesting match.
• Paid parental leave: 16-18 weeks for birthing parents and 10 weeks for non-birthing parents, plus infertility coverage.
• Comprehensive medical, dental, and vision plans, including 100% employer-paid dental and vision for individual coverage, a low-cost medical option, 10 free mental health visits, and pet insurance.
• Generous PTO, RTO (for full-time exempt employees), sick leave, holidays, and a personal holiday.
• Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
• World-class onboarding, learning, and development resources.
• Employee Resource Groups supporting diverse communities at Evolve.

Location and eligibility

• All Evolve team members must live in one of the approved locations by their first day.
• Can hire from anywhere in the U.S. except D.C. and Hawaii.
• Some positions may have restrictions based on compensation in California, Maryland, New York, Pennsylvania, Rhode Island, and Washington.
• If you live in Colorado, you can work remotely anywhere in the state, at the downtown Denver office, or a hybrid of both.
• If you are planning to move soon, the recruiter can review your application again.

Additional notes

• Evolve is committed to diversity and inclusion and participates in e-Verify for all positions.
• Candidates with a disability or special need requiring accommodation during the hiring process should let their recruiter know.