Lead Data Scientist - Remote

Overview

At Evolve, we’re on a mission to make vacation rental easy for everyone. Our high-performing, customer-obsessed team runs on curiosity, communication, and accountability—working together to create exceptional experiences for our owners and guests. Whether solving big challenges, delivering outstanding results, or celebrating wins, we approach every day with purpose and passion. If you’re ready to join a mission-driven company where every teammate has the opportunity to thrive, Evolve might just be the place for you.

In Short

• Serve as a senior technical contributor and scientific lead for churn prediction, Dollars-at-Risk, anomaly detection, and LTV forecasting.
• Ensure LTV projections are integrated with churn, anomaly, and income signals to deliver a business-ready forecasting tool.
• Mentor and develop data scientists, providing code reviews, standards, and career guidance to expand impact beyond yourself.
• Partner with Product teams to design and evaluate experiments, and owner lever interventions.
• Lead causal inference analyses to better understand drivers of churn, retention, and LTV.
• Oversee deployment and monitoring pipelines, ensuring reproducibility, calibration, and incident readiness.
• Collaborate with Data Engineering/Infrastructure teams to maintain orchestration and deliver production-ready ML systems.
• Establish and enforce best practices for modeling, documentation, monitoring, and governance.
• Effectively communicate complex findings to both technical and non-technical stakeholders.
• Stay current on advances in ML/AI and bring forward innovative methods applicable to Evolve’s business.

Requirements

• 7+ years of applied data science experience, including 3+ years leading ML projects in production.
• Prior leadership and/or mentorship experience with a strong record of code reviews, reproducibility, and standards enforcement.
• Proven track record of business impact from churn, retention, LTV, or anomaly detection models.
• Expertise in survival analysis, causal inference, uplift modeling, anomaly detection, and calibration.
• Strong programming experience with Python and SQL; experience with ML ops and orchestration.
• Familiarity with cloud technologies, especially AWS.
• Ability to partner cross-functionally with Product, Commercial Strategy, and FP&A.
• Excellent communicator — able to translate complex analyses into actionable business decisions.
• Bachelor’s degree in Computer Science, Statistics, or related quantitative field; Master’s or PhD preferred.

Benefits

• Industry-competitive pay, equity in the company, and a 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 (100% employer-paid for individual enrollment), 10 free mental health visits, and pet insurance.
• Generous PTO, RTO, sick leave, holidays, and a personal holiday to celebrate what matters most to you.
• Annual Evolve travel credit after one year and discounts on stays at all Evolve properties.
• World-class onboarding programs, learning, and development resources to help you grow your impact.
• Employee Resource Groups celebrating our diverse communities at Evolve.