Marketing Data Scientist

ABOUT THE ROLE

Peloton is looking for  a dedicated, thoughtful, and ambitious individual to join the Measurement and Investment Optimization (MIO) team, with the core responsibility of informing budget allocation decisions through actionable and data driven insights across our Connected-Fitness and App businesses. This position reports directly into the Staff Data Scientist of Measurement and Investment Optimization. 

The MIO team at Peloton uses business judgment and many forms of analysis to inform the optimal business and channel mix allocation for our $300M+ global media budget. The responsibilities of this position involve employing diverse measurement methods such as Marketing Mix Modeling, lift experiments, and ad-hoc analyses to provide insights for business decision-making.

• Develop and maintain MMM (marketing mix modeling) models to measure the effectiveness of key business drivers 
• Design and implement A/B tests, geo lift tests, and other experiments to measure the incremental impact of marketing activities
• Integrate MMM results with other measurement tools, such as lift experiments, digital attribution models and customer lifetime value (CLV) models
• Collaborate with stakeholders to understand business needs and design measurement framework to address those needs
• Partner with cross-functional teams including Marketing Analytics, Media Strategy and Data Engineering to ensure alignment on measurement methodologies and data integrity
• Continuously identify areas for improvement in our measurement framework and processes and make recommendations for changes

• 3+ years of hands-on modeling experience with Marketing Mix
• Expertise in a scripting language (e.g. Python, R) and operationalizing sophisticated data models (regression, segmentation, clustering, and other predictive or machine learning models) from exploration, modeling, testing to performance evaluation
• Experience in SQL and working with structured and unstructured data-sets, as well as data visualization technologies such as Looker or Tableau
• Strong statistical skills and knowledge of statistical techniques such as regression analysis, time series analysis, and experimental design
• Highly skilled in spreadsheet and presentation tools (Excel, PowerPoint, or equivalent GSuite Tools)
• Strong communication skills with the ability to explain complex analytical concepts to non-technical stakeholders
• Experience working in a fast-paced, dynamic environment with constantly evolving priorities
• Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or related fields

Base Salary: $136,300.00  to $177,300.00

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including individual performance, business objectives, and if the location for the job changes. Our base salary is just one component of Peloton’s competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

• Medical, dental and vision insurance 
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k, tuition reimbursement and student loan paydown plans
• Employee Stock Purchase Plan
• Fertility and adoption support and up to 18 weeks of paid parental leave 
• Child care and family care discounts
• Free access to Peloton Digital App and apparel and product discounts
• Commuter benefits and Citi Bike Discount
• Pet insurance and so much more!

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