Associate Data Scientist or Data Scientist, Spotify Advertising
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!We are currently recruiting for a number of data science roles within the multidisciplinary Spotify Ads Insights team. We are looking for experienced and accomplished Data Scientists to join us at the Senior and Staff levels.
Our mission is to enable the product and business teams to meet their objectives through evidence based decision making and customer focus. As a data scientist in this group you will use the whole range of data science tools and capabilities to conduct analysis related to one or more of the following areas of focus:-User facing advertising product development-Client facing product development for advertisers and publishers-Platform and machine learning engineering performance-Product marketing-Sales and operation-Strategic research
What you'll do
- Perform analyses on large sets of data to extract practical insights that will help drive product, platform and business decisions
- Design and conduct A/B tests to drive iterative improvement to both user and advertiser metrics through efficient experimentation
- Communicate data-driven insights and recommendations to key partners
- Work closely with cross-functional teams of engineers, user researchers, product owners, designers and business decision makers who are passionate about Spotify’s success
- Build lasting solutions to surface critical data and performance metrics
- Help us develop our knowledge and practice around the development and evaluation ML driven and user focused products
- Develop individually to continue to grow your impact, and help mentor peers
Who you are
- You have experience in a similar data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject area.
- Based on your experience and expertise we will match you to one of two levels during the interview process - Associate Data Scientist or Data Scientist. Associate roles are open to people in the beginning and early stages of their career.
- Ideally you have experience working in an analytics role that focuses on improving internal decision making while working with one of - platform teams, ML functions, product teams, sales teams or marketing teams and have conducted A/B tests, defined metrics and delivered exploratory analyses.
- You have the technical competence to perform more advanced analytics:Coding skills for analytics and data extraction (SQL, R, Python, Pandas)Data visualization (such as Tableau, D3, ggplot, Looker)
- Experience performing analysis with large datasets
- Strong understanding of statistics and machine learning
- You value cross-disciplinary work and understand how to match qualitative research with your quantitative analysis.
- You are capable of solving very loosely defined problems.
- You are a communicative person that values building strong relationships with colleagues and collaborators and have the ability to explain complex topics in simple terms.
- You are curious, exhibit a growth mindset and are excited by working on a constantly evolving team
Where you'll work
- 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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data visualization Economics Engineering Looker Machine Learning Mathematics Pandas Python R Research SQL Statistics Streaming Tableau
Perks/benefits: Career development
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