Data Scientist Freemium Marketing Analytics

Key Skills

Java Programming, Python Programming, SQL, A/B Testing, Business Intelligence, Tableau, R Programming, Statistics, Design of Experiment

Job Description

Spotify is looking for an experienced data scientist to join the Marketing and Consumer Insights (MCI) team to support Spotify’s Marketing organization in their pursuit of building a globally loved brand and bringing the next generation of fans to Spotify.

Location: New York or Remote Americas

Job type: Permanent

This role will provide analytical support for our global Freemium Marketing team to ensure our brand development efforts are conducted in the most impactful way possible, ultimately improving brand investment outcomes for Spotify. Success will require gaining a strong understanding of Spotify’s Freemium Marketing strategy, providing clear and concise insights that support marketing leadership, and developing a trusted partnership with marketing teams.

The role reports into the Freemium Marketing Analytics team lead and involves significant cross-functional collaboration. You’ll have the opportunity to use Spotify’s world-class user data infrastructure and collaborate with a global community of hundreds of data scientists and researchers.

What You'll Do

• Perform analyses on large sets of data to extract insights that will guide our global marketing investments
• Help plan and measure a wide variety of marketing campaigns and tactics to help grow our brand globally and in key local markets
• Deliver insights across creative performance, media tactics, brand tracking and market research in a useable way for marketing leaders to leverage
• Provide annual strategy and marketing planning support, evaluating marketing investment based on expected outcomes
• Run experimentation initiatives; design test plans, obtain cross-functional alignment, complete robust analysis, and deliver practical insights
• Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and presentations
• Collaborate with sister analytics teams at Spotify to use shared platforms, best practices, insights and innovations

Who You Are

• Intellectually curious, open-minded, and enjoy working in a fast changing environment
• A skilled communicator, who focuses just as much on the delivery and the “so what” of your insights, as you do on the technical craft of extracting them
• Experienced in taking vague questions and crystalizing them into impactful experiments, analysis or models
• You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics, Computational Social Science; advanced degree is desirable
• 3+ years of experience in a marketing analytics, decision science or data science role
• Expert analytical skills, including analysis and modeling of big data using SQL, Python and/or R, statistics, A/B testing, and experimental design required
• Strong understanding of different media strategies, above-the-line marketing approaches, experiential marketing and digital marketing approaches
• Experience building data visualizations, dashboards (e.g., Tableau or similar BI solution) and reports

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 Americasregion in which we have a work location and is within working hours
• Working hours? We operate within the Eastern/NY time zones for collaboration and ask that all be located in that time zone
• 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.

Our global benefits

• Extensive learning opportunities, through our dedicated team, GreenHouse.
• Flexible share incentives letting you choose how you share in our success.
• Global parental leave, six months off - fully paid - for all new parents.
• All The Feels, our employee assistance program and self-care hub.
• Flexible public holidays, swap days off according to your values and beliefs.
• Spotify On Tour, join your colleagues on trips to industry festivals and events.