Manager - Analytics & Data Science
Core
Develop ML models and advanced analytics to drive pricing, forecasting, segmentation, and test & learn strategies.
Role type
Manager - Analytics & Data Science
Builds
Production ML models and analytical frameworks for business decision-making
Domain
Technology / Data Science / Marketing Analytics
Deliverable
production ML models
Required skills
Python, SQL, Machine Learning, Statistics, Pricing Analytics, Forecasting, Segmentation, A/B Testing, Linear Regression, Decision Trees, Random Forest, Gradient Boosting, K-Means Clustering, NumPy, Pandas, Scikit-learn, TensorFlow, Pytorch, Seaborn, Plotly
Preferred skills
Tableau, Power BI, Generative AI, Prompt Engineering
Responsibilities
Develop and deploy ML models for pricing and forecasting; Design and execute A/B tests and test & learn frameworks; Analyze large datasets to generate business recommendations; Communicate complex analytical approaches and outcomes to stakeholders; Research and experiment with new methodological approaches.
Seniority
Manager, hands-on IC with strategic oversight