Data Scientist, Performance Marketing Analytics

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

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 Performance Marketing team to ensure our user acquisition efforts are conducted in the most effective way possible, ultimately improving marketing investment outcomes for Spotify. Success will require gaining a strong understanding of Spotify’s Performance Marketing strategy, providing clear and concise insights that improve ROI, and developing a trusted partnership with partners.

The role reports into the Associate Director of Performance Marketing Analytics 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.

What You'll Do

• Perform analyses on large sets of data to extract insights that will guide our global marketing investments
• Provide annual forecasting support, evaluating investment effectiveness based on expected results
• Build and maintain optimization model to inform quarterly budget allocation, ensuring investments achieves the greatest possible value
• 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; advanced degree is desirable
• 3+ years of experience in a marketing analytics and/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 digital media strategy and the ever evolving attribution landscape; Performance marketing experience preferred
• Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution)

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 EMEAregion 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

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.