Senior Manager, Data Science

About Foursquare 

Foursquare is the leading independent location technology and data cloud platform 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 is looking for a Senior Manager, Data Science to join our team! 

About the team: The Movements team sits at the intersection of Data Science, Product and Engineering. We are responsible for creating and maintaining algorithms that power “Movements and Visits”, the contextual understanding of what people are actually doing as they move through the physical world. Our Engineers and Data Scientists are heroes of big data: operating, monitoring, maintaining and improving data pipelines for 250 million monthly active users and owning a system that ingests 5 billion new location readings every day. 

About the role: As a Data Science Senior Manager at Foursquare, you’ll be broadly responsible for leading teams working on statistical inference, big data analytics, and supervised/unsupervised model building. The methodologies we employ are varied which creates a rich environment for the application of data science technology.This is a massive opportunity for professional development and you will learn many new technologies and techniques during your Foursquare experience.

More specifically, we are currently looking for a Senior Manager of Data Science to join our Movement Engine team. Your team builds geospatial models and pipelines that refine 100 billion gps records daily into data products that provide an understanding of how people move through the physical world. You will lead  Data Scientist on multiple cross-cutting workflows, some around upgrading existing algorithms and creating new ones for movement understanding and venue attachment. 

Other challenges include the filtering and amplification of quality in extremely noisy third party data - thus enabling the faithful reconstruction of the daily diary of people moving through the urban landscape. You will work directly with your engineering counterparts to ensure your team's solutions are deployed effectively in production. You will collaborate with external stakeholders in the Product, and Go To Market teams and organize your team to deliver high quality and timely solutions. You will also be responsible for hiring and career growth of your team members.

This is not just about ML. We look for data scientists who are excited by the challenge of solving problems using a wide array of modeling and quantitative techniques. This can involve product feature prototyping, new metric development, and exploratory data analysis.

Data scientists at Foursquare are also highly collaborative, working with Product and Engineering stakeholders to deploy machine learning models and analytics processes at scale in production. You should have a growth mindset, deep scientific curiosity, and a collegial spirit – it is through these qualities that we succeed as a team.

In this role, you’ll 

• Lead a team designing new core algorithms for our data that will power the future of Foursquare geospatial intelligence
• Perform impact analysis and opportunity-sizing for our work streams and data products, and leverage the analysis to guide product development timelines and prioritization
• Communicate proposals and team progress/updates to engineering counterparts and more broadly throughout the company to both technical and non-technical audiences and stakeholders
• Coordinate with product managers and core clients to scope requirements and communicate project status, set and understand requirements
• Proactively Identify and implement product and process changes to make the platform more efficient and accurate
• Guide the tactical vision for your team

What you'll need

• 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 a