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Data Scientist - Attribution, Retention and Forecasting in Barcelona


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Job Description

letgo's the largest app to buy and sell locally, with over 75M downloads and hundreds of millions of listings added by users. Named one of Wired’s “Hottest Startups” and among 2016’s “Best Apps” by Google, letgo’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, Mashable, Fast Company, The Wall Street Journal, Fortune and hundreds of others worldwide. It’s the only app with artificial intelligence and image recognition that make posting something for sale as simple as taking a photo. 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.
We are looking for a Data Scientist who will help us identify new opportunities for improvement throughout our user funnel, forecast and understand the drivers of our most relevant metrics and quantify the ROI of our different investments. You will use the latest technologies (boosting/bagging models, deep neural networks, NLP) to help us make the best decisions and improve our users’ experiences, while leveraging the massive amounts of data we are collecting from millions of buyers and sellers.
Your challenge:

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

   •    Deliver attribution models to quantify impact of marketing and other investments

   •    Develop explainable predictive models to understand the drivers of user activation, engagement and retention and generate testable hypotheses

To get there, you'll need:

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

   •    Willingness to fail fast and iterate faster

   •    Ability to strike the right balance of technical complexity as a function of the business’ needs

   •    Strong quantitative skills (statistics, probability)

   •    Expert knowledge of statistical machine learning tools and methods

   •    Strong data analysis software skills (Python, R, SQL)

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

   •    Fluent in English, Spanish a plus
   •    Experience doing research in statistics, 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)

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

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.


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