Senior Data Scientist - Commerce
London
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!When you think of commerce at Spotify, you might think of the millions of subscribers purchasing Premium subscriptions, but this is just the beginning! Spotify is diversifying: audiobooks, artist merchandise, podcast advertising and many others. These require new ways of delivering goods and services, taking money and passing it out. We are building the commerce platform that does this.
As a Senior Data Scientist in the product insights team, you will drive the understanding of our users and products, creating and communicating insights to inform the entire product development cycle, as well as being a technical lead and mentor for the team
What You'll Do
- Influence product strategy with foundational analysis
- Drive prioritisation by estimating impact of potential product changes, and creating frameworks to align interested parties
- Define metric frameworks and partner with engineering to instrument our product. Building systems and practices that allow us to monitor progress at scale efficiently
- Partner with product managers, user researchers and design to create & communicate insights that directly drive major product decisions
- Identify the most suitable insights methods (exploratory data analysis, experimentation, causal inference, regression methods, ML etc.) to support all stages of product development cycle (from ideation to shipping/ optimisation)
- Drive experimentation adoption and tooling in partnership with product teams
- Partner with user researchers to combine qualitative and quantitative insights into more powerful and compelling stories - understanding the what and the why
Who You Are
- 5+ years of professional experience in data science or related fields
- You can wrangle data & create visualisations. Methods include: querying large datasets (SQL, BigQuery), coding skills (R, Python), analytics & visualisation libraries (e.g. pandas, tidyverse, seaborn, ggplot), visualisation tools (Looker)
- You use statistics to drive business decisions. Methods include: success metrics, a/b testing, determining statistical significance and communicating findings with clear product recommendations or implications
- You value building strong relationships with colleagues and partners and enjoy mentoring and teaching others. You bring passion and playfulness to your work and those around you
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 EMEA 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 Central European time zone for collaboration
- We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
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.
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing BigQuery Causal inference Data analysis EDA Engineering Looker Machine Learning Pandas Python R R&D Research Seaborn SQL Statistics Streaming Testing
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