Senior Manager, Data Science & Operation Analytics
Core
Lead analytics strategy and build scalable analytical assets to drive data-driven decision-making for an AI-powered manufacturing marketplace.
Role type
Senior Manager, Data Science & Operations Analytics
Builds
Scalable analytical data assets, KPI frameworks, semantic layers, dashboards, and statistical models for marketplace performance and operations.
Domain
Manufacturing marketplace / E-commerce / Supply chain
Deliverable
dashboards & analysis
Required skills
Statistical inference, experimental design, causal analysis, forecasting, quantitative modeling, SQL, Python (Pandas, NumPy, SciPy, Statsmodels), data visualization, business intelligence
Preferred skills
Experience with large-scale transactional datasets, marketplace dynamics, supply chain environments
Technologies
SQL, Python, Pandas, NumPy, SciPy, Statsmodels, Tableau, Looker, Power BI
Responsibilities
Lead strategic analytics across marketplace performance, customer behavior, sourcing, pricing, and business trends; Develop analytical frameworks and AI agents to measure marketplace health; Translate complex business problems into structured analytical approaches; Deliver executive-ready insights influencing product roadmap and investment decisions; Establish best practices for statistical analysis, hypothesis testing, and experimental design; Partner with Product and Engineering to design and interpret A/B tests; Define and build reusable analytical datasets and metrics; Lead forecasting and trend analysis for demand, capacity, and financial outcomes; Lead, mentor, and develop a high-performing team of data scientists and analytics professionals.
Seniority
Senior, hands-on IC with leadership responsibilities
