Staff Data Scientist, Advertising Sales and Operations
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 looking for experienced and accomplished data scientists to join our data science and analytics practice in Advertising Business. Members of this team will develop insights and products for internal business sales and operations teams that drive data-informed decision-making to help us meet our goals.
As a lead data scientist in this group you will use the whole range of data science tools and capabilities in the following areas:
Revenue forecasting and account planningAd pricing, inventory and yield managementProduct mix modelingInternational advertising growthStrategic advertiser researchSales and operations
As a Data Scientist in Ads Business your mission is to turn terabytes of data into insights, and get a genuine understanding of the world of our advertisers and listeners. You’ll join a team of data scientists and analysts that’s part of an existing insights organization and that offers plenty of opportunity for teamwork and learning.
This team will answer questions such as:How do we recommend the right mix of ad products to provide maximum value to our top advertising partners?How well is our business performance matching our goals and can we uncover specific areas to focus on improvement or double down on success?How can we optimize our pricing across regions, platforms and products?
What You'll Do
- Perform and present analyses on large sets of data to extract important insights that will help drive product and business decisions.
- Work with colleagues across Ad Sales, Sales Operations, Partner Solutions and Revenue Partnerships to understand analytic needs and deliver impactful findings.
- Collaborate with insight partners across the organization and contribute to the wider data science practice.
- Team responsibilities include delivering the following: data infrastructure, dashboards, metrics, audience segmentation, exploratory analysis and forecasting of trends, marketing attribution, experimentation
- Communicate insights and recommendations to key partners.
- Work closely with multi-functional teams
- Mentor and coach other data scientists.
Who You Are
- Proven experience in a similar data science role and a degree in Economics, Statistics, Computer Science, Finance, Mathematics, Operations Research or similar quantitative subject area.
- You have worked in an analytics role with a business or monetization focus (financial planning, forecasting, quantitative analysis, business intelligence, dynamic pricing and inventory management)
- Technical competence to perform advanced analytics: coding skills (such as Python, Java, or Scala), experience with analytics & visualization tools (Pandas, R, SPSS, SQL, Hadoop, Tableau), and experience performing analysis with large datasets.
- Statistical competence (such as regression modeling, a/b testing, significance testing etc) as well as skills in forecasting and time series.
- Enjoy understanding and tackling loosely defined problems and come up with relevant answers and impactful insights to guide product development decisions.
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 is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
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 Business Intelligence Computer Science Economics Finance Hadoop Mathematics Pandas Python R Research Scala SQL Statistics Streaming Tableau Testing
Perks/benefits: Career development
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