Data Scientist - Places Core

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.
About The Position
Foursquare is looking for a Senior Data Scientist to join our team!
As a senior level technical member of Foursquare’s Marketers Data Science team, you’ll be responsible for leading the innovation efforts to build and evolve the next generation of our ads measurement and ads targeting solutions. You would leverage the cutting-edge machine learning and causal inference technologies to reshape our marketing solutions and to help our clients to optimize their marketing strategies and drive higher efficiency. The role emphasizes technical excellence and driving business impact with state-of-the-art science and techniques.
As a result, the ideal candidate will demonstrate to be an ads or marketing domain expert, have strong knowledge of causal inference and expertise to bring in cutting edge methodologies, and the ability to work effectively with multiple stakeholders and external vendors. In addition, a successful candidate will be able to influence these technical and non-technical partners in order to achieve the best outcome for Foursquare and its customers.
In this role, you’ll

• Be a strong communicator to work closely with a range of stakeholders to influence, design and implement solutions
• Proactively think strategically about opportunities to improve and scale our measurement and targeting solutions
• Be comfortable diving deep for descriptive analysis, generate insights from massive of our data, also comfortable to design and analyze experiments to measure the effectiveness of our solutions
• Identify the right solution and think out of the box to tackle large, open ended, critical or foundational causal inference problems with or without known solutions, such as modeling and measuring the long term ads effect, the heterogeneous ads treatment effect, etc
• Leverage massive data sources, observational causal inference, bias corrections, cutting-edge attribution methods to design, prototype, implement, evaluate and monitor our ads measurement system.
• Drive projects across multiple products and areas. Provide thought leadership to the team both strategically and technically. Be able to drive a roadmap and provide mentorship to junior level team members. Be able to drive the data science culture such as experimentation culture.

What You’ll Need

• Degree in quantitative field of study (computer science, applied mathematics, statistics, etc.)
• Strong problem solving and data-driven decision making skills, with a track record of successfully uncovering data insights that lead to positive business impact
• Strong domain knowledge in ads measurement, strong domain knowledge of causal inference, experimentation and quasi-experimental methods.
• 6+ years of industry experience with a Masters, or 3+ years with a PhD.
• Your own unique talents! If you don’t meet 100% of the qualifications outlined above, we encourage and welcome you to still apply!
• Proven track record of delivering on large scale products and/or complex practical research endeavors
• Ability to communicate clearly and effectively to influence cross functional partners of varying technical levels and drive impact
• Proficiency in Python and SQL
• Ability to solve business problems using appropriate methods and models

Preferred Qualifications

• Passion for ads industry; a desire to keep up with and find opportunities to apply modern academic and industry research into our solutions
• Deep understanding of the external ads and marketing methods and platforms.
• PhD in Economics, Statistics, or related field

Benefits And Perks

• Family Planning and Fertility Programs - programs via Carrot and Maven
• Employee Resource Groups - to help you stay connected
• Home Office Setup - you get all necessary hardware and internet reimbursement
• Fully Flexible Workplace - work from home, one of our offices or a combination of the two!
• Industry Leading Healthcare - comprehensive and competitive health, vision, dental, life insurance
• Savings and Investments - 401(k) with company match
• Unlimited PTO - rest and recharge when you need it!

Things to know…
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.
At Foursquare, we are committed to providing competitive pay and benefits that are in line with industry and market standards. Actual compensation packages are based on a wide array of factors unique to each candidate including but not limited to skill set, years & depth of experience, and specific office location.
Salary is just one component of Foursquare’s total compensation package, which includes restricted stock units, multiple health insurance options, and a wide range of benefits!
US Based Roles
$136,000—$228,000 USD