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Senior Data Scientist - Forecasting
Posted on 6/16/2022
New York, NY, USA
Experience Level
Desired Skills
Google Cloud Platform
  • Degree in Computer Science/Engineering, Mathematics, Statistics, Economics, Econometrics, or another quantitative field
  • 5+ years of relevant experience, particularly in forecasting time series using Python, SQL, and/or R
  • Strong mathematical and statistical understanding of models for time series forecasting
  • Previous industry experience with frameworks like Tensorflow and data pipeline tools like Apache Beam, Scio, etc., and cloud platforms like GCP or AWS are a plus
  • Take a leading role in producing Spotify's public-facing user and financial growth forecasts every quarter
  • Enrich the suite of our forecasting models by researching and implementing innovative technologies in ML models for time series forecasting
  • Develop end-to-end products for forecasting Spotify's growth following software engineering best practices
  • Build ML models to forecast operational and financial metrics in order to ultimately predict Spotify's gross profit

5,001-10,000 employees

Leading music and podcast streaming platform
Company Overview
Spotify's mission is to unlock the potential of human creativity — by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it. Today, Spotify is the world’s most popular audio streaming subscription service with 406m users, including 180m subscribers, across 184 markets.
  • Extensive learning opportunities, through our dedicated team, GreenHouse
  • Global parental leave, six months off - fully paid - for all new parents
  • Flexible public holidays, swap days off according to your values and beliefs
  • Flexible share incentives letting you choose how you share in our success
  • All The Feels, our employee assistance program and self-care hub
  • Spotify On Tour, join your colleagues on trips to industry festivals and events
Company Core Values
  • Innovative: We move fast and take big risks
  • Sincere: We have no time for internal politics
  • Passionate: We revel in what we do
  • Collaborative: We recognize that we're all in this together
  • Playful: We don't take ourselves too seriously