As a Data Scientist You Will:

• Navigate the complex dynamics of the marketplace to optimally manage supply and demand balance amid hundreds of localities, multiple service lines, and strong seasonal fluctuations.
• Collaborate closely with business, product, marketing, and operations teams to pinpoint opportunities for enhanced efficiency in our marketplace.
• Develop and refine data science models to inform strategic decision-making and manage the efficient scaling of Rover's global sitter and walker communities.
• Design, build, and maintain robust data pipelines and models that power product features.
• Dive deep into marketplace dynamics, extracting valuable insights and providing strategic recommendations to shape our product offerings, using your skills in data analysis and data visualization.
• Perform statistical analysis to evaluate marketplace experiments, forecast future trends, and predict user behavior.

Your Toolset Includes:

• SQL - you would be comfortable leading an advanced SQL course
• Python or a similar computational programming language (we mostly use Python but can provide training)
• Data visualization (we use Mode as our data visualization tool, but you could have experience in any other tool or library such as Tableau, Sisense, Matplotlib, ggplot)
• Experience with big data technology (e.g. Spark, AWS) a plus

Your Qualifications:

• BS in a quantitative discipline; advanced degree (MS or PhD) a plus. Economics backgrounds will be highly valued.
• At least 3 years of experience as a data scientist or analyst in a business setting
• Experience managing complex projects with large cross-team dependencies, involving both technical and non-technical partners
• Expertise with statistical concepts including probability, hypothesis testing, experimental design, and linear and logistic regression
• Robust foundation with one or more contemporary machine learning or predictive modeling algorithms, such as ensemble methods, natural language processing (NLP) techniques, clustering algorithms, or deep learning methods
• Experience with simulation (e.g. Monte Carlo, discrete event simulation) will be valued.
• Experience in a two-sided marketplace is a plus.

Why We'll Hire You:

• You have the technical skills to lead the development of production-facing data science applications.
• You can take abstractly defined economics problems and work with (imperfect) data to drive decisions.
• You are passionate about our core business. You will instinctively dig into every aspect of what it means to be a pet sitter and a pet owner on the Rover platform.
• You're a deeply analytical thinker who is passionate about finding structure in data, and using data to drive real value to the end user (and thus the business).
• You're able to fit and interpret results of statistical models, as well as report on key assumptions and limitations.
• You show a pattern of being self-started, self-taught, and self-directed.
• You favor open communication with willingness to ask and answer questions.
• You are output- and outcome-oriented.
• You have excellent written and verbal communication skills in English, with the ability to break apart complex processes for non-technical stakeholders.
• You play nicely with others (and dogs).

Benefits of Working for Rover:

• Competitive compensation
• Hybrid work schedule in the Seattle area, remote work available in FL, GA, ID, NC, TX, MI, and WA outside of the Seattle area
• Competitive benefits package, including medical, dental, and vision insurance
• 401k Match
• Flexible PTO
• Commuter benefits
• Bring your dog to work
• Pet benefits, including $1000 toward adopting your first dog or cat
• Flexible work hours, sometimes you'll need to be in at certain times, but on the whole, we're pretty flexible when it comes to managing workload and time
• Stocked fridges, coffee, soda, and lots of treats (for humans and dogs) and free catered lunches semi-monthly
• Regular team activities, including happy hours, game nights, and more