Data Scientist at Outdoorsy

Outdoorsy is looking for a Data Scientist to join our Data team! If you’re passionate about the outdoors and would like to work in a fast-paced environment, then we want you! Fun fact: Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.Job SummaryAs a Data Scientist at Outdoorsy, you will be instrumental in leading the charge of how we leverage data in powering our products to optimize solutions and experiences. You will own a wide variety of responsibilities from initiating and scoping potential opportunities, using data to discover insights and diagnose problems, and building data solutions to solve key business challenges. Responsibilities Design and implement machine learning algorithms for various business initiatives such as automated risk analysis, dual-sided marketplace pricing, and recommended rentals to drive key business metrics such as user retention and booking conversions Analyze large-scale structured and unstructured data to derive analysis and insights to identify ML opportunities for optimizations in the business Run experiments to test hypotheses to iterate on features and optimize user experiences Implement ETL and data pipelines of data cleaning and aggregation for analytical and modeling purposes Partner with product, engineering, and analytics team to initiate, lead, and drive to completion complex strategic projects to optimize business KPIs Drive company-wide impact by leveraging data to identify opportunities and trends through data-centric presentations to influence our business strategy and strategic goals Qualifications A degree in a quantitative discipline (e.g. Mathematics, Applied Mathematics, Operations Research, Physics, Statistics, Economics, etc) or equivalent quantitative experience 5+ years of relevant work experience (preferred in one of the fields: dynamic pricing, search and recommendation, online experimentations) Strong skills in SQL and highly proficient in Python and ML packages; experience working with AWS and GCS preferred Solid understanding of ETL and data pipelines; experience with Apache Airflow is preferred Experience with structured and unstructured data for data mining and analysis Proven record of building, designing, and managing production machine learning models Strong understanding of modern machine learning techniques and their mathematical underpinnings, such as classification, clustering, optimization, neural network and natural language processing Hands on experience with statistical analysis techniques, including hypothesis testing, model evaluation, and feature tuning Strong data presentation and communication skills with the ability to simplify and explain complex problems in compelling narratives across technical and non-technical audiences  Benefits & Perks Opportunity to help build a company from an early stage Competitive salary Equity in one of the world's fastest growing companies Comprehensive health and welfare benefits 401(k) Match Unlimited PTO 2 paid RV rentals per year-- we believe in balance and taking the time to nourish mind, body, and soul. About usOutdoorsy is the most trusted RV rental and outdoor experiences marketplace on the planet. We have grown from a lofty white-board idea in 2015 to over $1B in total transactions. Outdoorsy’s mission is making memorable outdoor experiences accessible to everyone. We are creating jobs and helping individuals, couples, and families realize financially life-changing freedom. With offices worldwide in the US, Canada, Australia, Europe and the UK, we’re mobilizing the 56+ million idle RVs and campervans around the world to ensure everyone has the access, choice, and opportunity to safely spend more time outside.We're passionate about our customers, collaborative consumption, community, and entrepreneurship. We’ve been motivated by our values from day one: we always put the customer ahead of ourselves. We like winning. We make long-term progress in the world and repay our gratitude in every community interaction.Outdoorsy has been recognized on the Forbes list of America’s Best Startup Employers in both 2020 and 2021.