Senior Data Scientist - Forecasting
New York City
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!In addition to possessing a proven technical background, the ideal candidate will be a natural communicator who can explain complex statistical frameworks to business and engineering teams. We also strongly prefer candidates with previous experience in analyzing and forecasting time series. Accompanying this broad set of responsibilities is exposure to many functional areas and senior management across Spotify.
What you'll do
- 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.
Who you are
- 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.
Where you'll be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the Americas region in which we have a work location.
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Eastern Standard time zone for collaboration.
Spotify transformed music listening forever when we launched in 2008. Our 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 chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service with a community of more than 381 million users.
Global COVID and Vaccination DisclosureSpotify is committed to safety and well-being of our employees, vendors and clients. We are following regional guidelines mandating vaccination and testing requirements, including those requiring vaccinations and testing for in-person roles and event attendance. For the US, we have mandated that all employees and contractors be fully vaccinated in order to work in our offices and externally with any third-parties. For all other locations, we strongly encourage our employees to get vaccinated and also follow local COVID and safety protocols.
This role is not eligible for hire in Colorado, USA.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Computer Science Econometrics Economics Engineering GCP Machine Learning Mathematics ML models Python R SQL Statistics Streaming TensorFlow Testing
Perks/benefits: Career development Home office stipend
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