Senior Data Scientist

Outdoorsy • Austin, TX

2d • $140,000 - $200,000

About The Position

The Outdoorsy Group is seeking a Data Scientist to solve complex advanced analytics challenges for Outdoorsy and Roamly. Reporting to the Senior Director of Analytics, they will be responsible for building dynamic pricing and recommendation engines, as well as predictive retention and claims models. The ideal candidate will be able to show a track record of leveraging advanced analytics and machine learning to solve complex problems in the travel or insurance space. With the role straddling both Outdoorsy and Roamly, they will need to demonstrate a passion and aptitude for pivoting between different business models and goals. If you’re self-driven and looking to make an impact in a fast-paced environment, then we’d love to have you!
Candidates in Austin, TX will be prioritized.

Requirements

• 3+ years data science experience, with a proven track record of standing up Machine Learning algorithms within consumer-facing products (Travel, marketplace, or insurance experience preferred)
• Proven ability to understand business imperatives and trade-offs (Bookings vs. Revenue, Premium vs. Risk) and tailor outputs to align with company goals
• You work effectively across departments, e.g. Product, Engineering, and Finance, and understand that great products come from diverse perspectives.
• You thrive in fast-paced environments where priorities shift quickly, and you're energized by solving real customer problems.
• Advanced expertise in SQL, Python/R, and relevant machine learning libraries. Demonstrated experience with statistical methods such as regression, hypothesis testing, clustering, classification, tree-based methods, neural networks, and anomaly detection. Familiarity with ELT tools such as FiveTran and DBT, and ability to collaborate with data counterparts on data repositories and models. Expertise with business intelligence tools such as Tableau (preferred).
• Degree in a quantitative field like data science, mathematics, economics, or computer science, or equivalent practical experience (Masters preferred)

Responsibilities

• Develop Lead Scoring algorithms that predict the LTV of qualified insurance leads, and pass it back to our ad partners to optimize bidding strategies, as well as to our internal Sales team to prioritize outreach
• Develop models to predict churn and claims losses across our insurance products. Work closely with the Underwriting team to ensure these models are integrated into business processes
• Assist in the development of a dynamic pricing model to help RV marketplace hosts adjust prices seamlessly in response to seasonal and vehicle-based factors, as well as surges in demand
• Develop models to predict what ancillary products should be recommended for upsell to a given Outdoorsy / Roamly customer
• Use advanced statistical methods to conduct audience clustering and segmentation on both RV Rental and Insurance customers, and evangelize these findings across stakeholders in Marketing and Product
• Collaborate closely with Data Analysts and Engineers to ensure that data pipelines and models are accurate and optimized

Benefits

• Competitive Compensation: Base salary of $140k–$200k DOE.
• Growth Opportunity: Join a company in its early stages and help build its foundation for success.
• Equity: Opportunity to earn equity compensation.
• Comprehensive Benefits: 100% company-paid medical premiums for employees, 401(k) [Match], and Flexible PTO.
• Vibrant Culture: Lively Austin HQ with catered lunches, Happy Hours, and team-building events.
• Work-Life Balance: Enjoy RV rental discounts and a company culture that values a healthy balance between work and adventure.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 101-250 employees