Outdoorsy · 4 hours ago
Senior Data Scientist
United States
Full-time
Remote
Mid, Senior Level
$140K/yr - $200K/yr
3+ years expOutdoorsy Group is a leading outdoor travel ecosystem that connects guests with memorable outdoor experiences. They are seeking a Senior Data Scientist to tackle advanced analytics challenges, focusing on building pricing and recommendation engines, as well as predictive models for retention and claims.
InternetMarketplaceOutdoorsPeer to Peer
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
Qualification
Required
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
Degree in a quantitative field like data science, mathematics, economics, or computer science, or equivalent practical experience
Preferred
Experience in Travel, marketplace, or insurance
Expertise with business intelligence tools such as Tableau
Masters preferred
Benefits
100% company-paid medical premiums for employees
401(k) [Match]
Flexible PTO
RV rental discounts
Catered lunches
Happy Hours
Team-building events
Company
Outdoorsy
Outdoorsy is a marketplace platform that connects RV owners with other campers.
51-200 employees
H1B Sponsorship
Outdoorsy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$195.12MKey Investors
Pacific Western BankGreenspring Associates
2021-06-24Series D· $90M
2021-06-24Debt Financing· $30M
2019-01-15Series C· $50M
Leadership Team
Jennifer Young
Co-founder & CMO of Outdoorsy
Aaron Ammar
Chief Insurance Officer
Recent News
Company data provided by crunchbase