Data Science Manager - Ad Tech
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!Do you want to join a growing, collaborative multi-disciplinary insights team?
Do you want to use your skills and experience to grow a culture of data informed decision making in product development?
We are looking for an expert leader in data science to lead a cross-disciplinary insights team to help craft product and platform strategies that are rooted in evidence, and deliver on a qualitative and quantitative insights roadmap.
Your work will help Spotify deliver an excellent Free listener experience and first class promotional products for our advertisers across both music and podcasts. Our advertising platform currently supports a billion dollar advertising business, and you'll work to build personalized, engaging and performant ad formats and experiences.
What You'll Do
- You will lead, run and grow a team of Product Insights Data Scientists within Spotify Advertising; setting priorities with the team to improve influence and impact in the organization.
- You will be hands-on and crucial to the success of data science projects. You’ll be accountable for the overall strategy, daily execution, and success of your team.
- Work closely with partners across Product Management, Engineering, Design and Sales to deliver impactful findings and recommendations with a goal of building a next generation advertising platform.
- You will collaborate with user research on mixed-methods insights and recommendations.
- You will work on iterative product improvement through efficient experimentation and causal analysis and build lasting solutions to surface critical data and performance metrics.
- Use your strategic skills to communicate findings through digestible data stories that connect to the business and impact decision making for our partners.
- Build project roadmaps to provide strategic direction aligned with product teams goals
Who You Are
- 1+ years of experience as a people-manager
- 8+ years of overall experience in a product-focused data science role and a degree in science, computer science, statistics, economics, mathematics, or similar quantitative subject areas
- You have worked closely with product, engineering and design and know how data science can most effectively contribute during the product development lifecycle
- You value cross-disciplinary work and understand how to integrate qualitative research with your quantitative analysis
- You are capable of tackling ambiguous problem spaces and challenges, are a self-starter and able to manage your team’s projects through planning, scoping, conducting, analyzing and presenting research
- You have technical competence to perform sophisticated analytics: coding skills for analytics and data extraction (such as SQL, Python, Pandas, R), data visualization skills to distill insights (such as Tableau, ggplot) and statistical analysis skills to tease out patterns from noise
- You have deep expertise in A/B testing and are able to craft effective experiments to measure the impact of product features on user behavior and business metrics
- You effectively connect with a wide range of cross-functional partners: you able to both explain sophisticated concepts to non-technical stakeholders and have technical discussions with engineers
- 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
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.
Tags: A/B testing Computer Science Data visualization Economics Engineering Mathematics Pandas Python R R&D Research SQL Statistics Streaming Tableau Testing
Perks/benefits: Career development Flex hours Flex vacation Health care Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs