Foursquare is the leading independent location technology and data cloud platform, powered by dedicated to building meaningful bridges between digital spaces and physical places. Our proprietary technology unlocks the most accurate, trustworthy location data in the world, empowering businesses to answer key questions, uncover hidden insights, improve customer experiences, and achieve better business outcomes. A pioneer of the geo-location space, Foursquare’s location tech stack is being utilized by the world’s largest enterprises and most recognizable brands.

Foursquare’s flexible building blocks include technology to maximize marketing impact and drive incremental real-world engagement (Attribution, Audience, Proximity, SDK);  data to deeply understand points of interest and real-world behavior patterns (Places and Visits), and tools to conduct advanced analysis, data enrichment, unification and visualization (Unfolded Studio).

About the Team

Data Science team at Foursquare owns research and methodology across all Foursquare products. Members of this team have advanced training in statistics, data science, and/or machine learning. While we produce code that is executed in production environments, the focus is on developing methodology, building models, and prototyping novel uses of our data resources.

This Visits is responsible for the methodology and models associated with creating visits including the underlying models. They own the methodology and models for enriching user level data, recall correction methodology, models inferring other real world behaviors, and leveraging emerging mobile features to collect data which allows us to improve the quality of behavior inferences. They are also responsible for research on OS features which impact our ability to build inferences.

About the role:

We are currently looking for a Senior Manager of Data Science to join one of our product engineering organizations. The Senior Manager will be responsible for running the Visits team and will collaborate with the external stakeholders in the Product and Go To Market teams and organize their reports in order to deliver high quality and timely solutions. They will also be responsible for hiring and career growth of their team members.

Responsibilities of the role:

• Making sure the team has the right tools and processes in place to deliver work that is on time and to specification.
• Owning and managing the team’s OKRs and deliverables for the quarter
• Working with partners and stakeholders in other teams to set and understand requirements.
• Growing and retaining the data scientists in the team

Qualifications:

• Experience leading a research team with complex systems-building requirements
• Experience mentoring new leaders via coaching and compassion
• A technical understanding of quantitative modeling and building big-data systems, leveraging modern technologies like Spark and EMR
• Able to be a bridge between scientists and product owners, generating agreement and consensus
• Strong knowledge of Agile processes, including an understanding of how to balance short-term needs with long-term research payoffs
• Highly-effective communication skills (both written and verbal) including the ability to get buy-in from product managers and executives
• An understanding of the quality and reliability needs of an enterprise business
• Experience in areas related to geospatial tech preferred; or related areas of real-world measurement, e.g., healthcare tech

Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe that in order to build the best products, we need a diversity of perspectives and backgrounds. This leads to a more delightful experience for our users and team members. We value listening to every voice, and we encourage everyone to come be a part of building a company and a suite of products that we love.

Foursquare is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law.