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’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 role:

As a member of Foursquare’s Measurement Data Science team, you’ll be responsible for supporting 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 not just a machine learning job. 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 largely with Product and Engineering stakeholders to deploy machine learning models and analytics processes at scale in production.

Responsibilities of the role

• Build supervised/unsupervised machine learning models and support feature engineering
• Build statistical inference and big data analytics
• Create prototype code and documentation for model implementations
• Work with software engineers to implement and deploy machine learning models and data analytics into production
• Conduct ad-hoc data investigation and data-driven approaches for insights extraction
• Work with product team and core clients to scope requirements and communicate project status
• Proactively Identify and implement product and process changes to make the platform more efficient and accurate

Minimum requirements:

• Strong problem solving and data-driven decision making skills
• Degree in quantitative field of study (computer science, applied mathematics, statistics, etc.)
• At least one year of work experience in a quantitative role
• Proficiency in prominent programming languages used for data science and analytics (Python or R, as well as SQL)
• Proven problem solver, with a track record of successfully uncovering data insights that lead to positive business impact
• Proven track record of delivering on products and/or practical research endeavors

Preferred qualifications:

• Proficiency in both Python (highly relevant: scikit-learn, pandas), as well as SQL
• Work or educational experience in machine learning (2+ years). Preferably DS experience in the context of marketing / ad tech
• Proven experience leveraging predictive models in the context of causal inference
• Strong stats fundamentals, namely in causal inference / hypothesis testing
• Strong background manipulating big data (EDA, data quality mitigation)
• Proficiency with data visualization libraries and relevant tooling (Grafana, Tableau)

Perks and benefits:

• Learning and development programs from ICs to managers
• Individual, professional coaching for all full-time employees
• Flexible time off - rest and recharge when you need it!
• Comprehensive and competitive health, vision, dental, life insurance
• 401(k) with company match
• Home office setup: you get all necessary hardware and internet reimbursement 
• Family planning programs via Carrot and Maven
• Employee Resource Groups to help you stay connected

Foursquare is proud to foster an inclusive environment that is free from discrimination. We strongly believe 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 products 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.