(USA) Senior Manager, Data Science - Marketplace Payments
About The Position
The Senior Manager, Data Science will lead a team of data scientists and apply advanced analytics, machine learning, and AI to deliver insights that inform strategic business decisions. The role leads end-to-end model development, validation, and deployment, and develops scalable AI/ML solutions within complex data ecosystems. It partners across functions to turn business challenges into data-driven strategies and deliver operational impact. The position also coaches and develops a high-performing data science team, provides technical thought leadership, encourages adoption of emerging AI capabilities, and drives innovation through scalable solutions. The Marketplace Payments & Financial Services team supports the Marketplace ecosystem through reliable seller payouts, monetization, and financial products while managing financial and compliance risks. Its Data Science function develops advanced models and AI/ML capabilities for Payments and Financial Services. The team uses predictive analytics, machine learning, and data visualization to deliver scalable financial services and support business goals and marketplace growth.
Requirements
- Expertise in machine learning, predictive analytics, advanced statistical modeling, and AI, with a record of delivering scalable solutions with measurable business impact.
- Technical leadership in defining data science strategy and establishing best practices across the model lifecycle.
- People leadership experience, including building, coaching, and developing high-performing data science or analytics teams.
- Expertise in Python, SQL, enterprise data architecture, and scalable AI/ML solutions.
- Ability to influence senior leaders and cross-functional partners and translate complex business challenges into data-driven strategies.
- Experience building globally scalable analytics capabilities and championing adoption of emerging AI technologies.
- Ability to define a vision and shape development of a scalable Payments Intelligence Layer.
- Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 5 years of experience in an analytics-related field.
- Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 3 years of experience in an analytics-related field.
- Option 3: 7 years of experience in an analytics or related field.
Nice To Haves
- Payments experience.
- Data science, machine learning, or optimization models experience.
- Ph.D. in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
- Successful completion of one or more assessments in Python, Spark, Scala, or R.
- Supervisory experience.
- Experience using open-source frameworks such as scikit-learn, TensorFlow, or Torch.
- Background creating inclusive digital experiences, with knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices.
Responsibilities
- Lead development of scalable data science and AI solutions for a global Marketplace Payments platform across current and future marketplaces.
- Define the technical vision, roadmap, and modeling frameworks for Payments and Financial Services.
- Partner with Product, Engineering, Operations, and Business leaders to deliver data-driven solutions that shape product strategy.
- Partner with Engineering and Product to build a scalable global marketplaces data platform, data assets, shared feature sets, and model monitoring capabilities.
- Champion emerging AI capabilities to improve decision-making, automation, and customer experience.
- Lead, coach, and develop a high-performing team of data scientists.
- Provide technical thought leadership and drive continuous innovation across the organization.
Benefits
- Competitive pay and performance-based bonus awards.
- Medical, vision, and dental coverage.
- 401(k).
- Stock purchase.
- Company-paid life insurance.
- Paid time off, including sick leave.
- Parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
- Short-term and long-term disability.
- Company discounts.
- Military Leave Pay.
- Adoption and surrogacy expense reimbursement.
- PTO and/or PPTO for vacation, sick leave, holidays, or other purposes.
- Live Better U paid education program for eligible full-time and part-time associates.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
