Lead Data Scientist

Job not on LinkedIn

September 25

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

⛰️ Colorado – Remote

Although this job is listed in Colorado, this company may be open to hiring remote in other states.

+5 more states

🏄 California – Remote ⛰️ Colorado – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote ☕ Washington – Remote

💵 $141k - $184k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

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Evolve

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Travel • Hospitality • Marketplace

Evolve is a vacation rental company that provides a seamless booking experience for travelers seeking private, professionally-cleaned rental homes. With a focus on hospitality, they offer 24/7 guest support and guarantee the best rates on vacation rentals. Evolve also ensures customer satisfaction with a 'Rest Easy' promise, addressing any issues that may arise. The company offers a wide variety of rental properties, including homes with specific features like pools, pet-friendliness, and proximity to popular destinations such as ski slopes and beaches. Evolve also supports the community through its Building Hospitality program and provides services for homeowners to start, manage, and grow their rental businesses.

1001 - 5000 employees

🏪 Marketplace

📋 Description

• 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 • Partner with Product teams to design and evaluate experiments and owner lever interventions • Lead causal inference analyses to 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 (GitLab CI/CD, Snowflake, AWS) 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 (Airflow, GitLab CI/CD) • Familiarity with cloud technologies, especially AWS (S3, EC2, SageMaker) • 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 • Variable annual bonus based on company and individual performance • Equity grants aligned to the Lead level • 401(k) with a 4% immediate vesting match • Comprehensive medical, dental, and vision plans (100% employer-paid for individual enrollment) • 10 free mental health visits • Pet insurance • 16-18 weeks paid parental leave for birthing parents and 10 weeks for non-birthing parents • Infertility coverage • 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 programs, learning, and development resources • Employee Resource Groups celebrating diverse communities