letgo's the largest and fastest growing app to buy and sell locally. With over 75M downloads and hundreds of millions of listings to date, letgo’s been named among the “Hottest Startups” by Wired and “Best Apps” by Google, and it’s the second fastest growing app in America since its 2015 launch. Business Insider calls letgo “the go-to app for selling your stuff” and it’s been featured by The New York Times, The Today Show, USA Today, The Verge, Fast Company, The Wall Street Journal, Fortune and hundreds of others worldwide. Already among the most popular apps in America, letgo’s marketplace is filled with everything from electronics and cars to clothing and furniture. Listing something on letgo is as simple as taking a photo thanks to its advanced technology. It’s the only app of its kind that can automatically title and categorize an item using artificial intelligence. Plus, users can easily browse local listings, chat instantly in the app, and view each other’s profiles, ratings and reviews.

Based in our New York and Barcelona offices, our team of over 165 represents more than 20 nationalities. Fueled by our diverse expertise, letgo’s goal is to build the largest marketplace of its kind in the world. We’re looking for people who are as passionate as we are about creating something our users love and - just as importantly - who are excited by the challenge.

The Data Scientist, Marketing Attribution & Forecasting is an analytical team member who will play a critical role in diving into our data to apply statistics to marketing problems, helping us to understand and optimize the ROI of each marketing channel. They will work closely with our Offline and Online marketing teams to design the most efficient allocation of our marketing budget.

We’re looking for someone who wants to build something huge and that people love because it makes their lives simpler:

We’ve built a company for people who want to do impactful work, surrounded by great people. We have a well-defined, mature culture — and we’re always making it better.

Your challenge:

•  Work closely with our marketing experts to expand our understanding of each marketing channel efficiency and to develop marketing investment strategies

• Build attribution models to evaluate the ROI of each marketing channel

• Develop and maintain actionable forecasting models to inform our decision making

• Understand the nuts and bolts of our business and choose the right technical tools to address the problems at hand

To get there, you’ll need:

• Advanced degree in CS, Statistics, Math, Physics, or other quantitative fields

• Advanced knowledge of computational tools to implement state-of-the art statistical models (R, Python, and their libraries)

• Strong SQL skills

• Experience with big data tools and frameworks (Spark, Hadoop, Hive, etc.)

• Advanced knowledge of statistical models for time series data (ARIMAX, SARIMAX family, State-space models)

• Experience in Offline and online marketing analytics

• Strong quantitative skills and experience doing research in statistics, probability, machine learning, signal processing, econometrics, bioinformatics or another quantitative field (preferred)

• Familiarity building and deploying data pipelines and services in AWS or another cloud service provider (preferred)

• Willingness to fail fast and iterate faster

• Fluent in English, Spanish a plus

letgo perks:

• 100% covered medical, vision, and dental care premiums for you and your family

• Competitive salary and stock options

• Beautiful, new office in the heart of Soho and along the beach in Barcelona

• Potential opportunities to travel to - and work in - both of our offices

• Robust relocation package

• Massage therapy (Barcelona office)

• Fully stocked kitchens

• Team-building activities

• Language and other courses

letgo is proud to be an Equal Opportunity and Affirmative Action employer. Ensuring a diverse and inclusive workplace where we learn from each other is core to letgo's values. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.