Dimiour - Senior Data Scientist - POS Modeling
1 month ago
JOB DESCRIPTION :
We are looking for individuals to support the development of our propriety in-house POS modeling solution called IRIS.
Domain experience in one or more of the following areas would be helpful :
- Advanced marketing measurement
- Revenue growth management and optimization
- Point-Of-Sale Modeling preferred
Responsibilities :
- Build Proof-of-Concept data science models: acquire, cleanse, and harmonize data, analyze, and identify appropriate algorithms, build models that are interpretable, explainable, and sustainable at scale and meets the business needs
- Collaborate with Enterprise AI/ML teams and DTS Delivery teams to scale proven high value
- Proof-of-Concept models where enterprise certified products are required
Critical Technical Skills :
- 8 to 10 years of experience with hands-on involvement in data science projects (experience in CPG/Retail, Digital Marketing, e-Commerce, or Revenue Management preferred)
- A bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Statistics, Economics, or Mathematics) - An advanced degree in a quantitative field is preferred
- Proficiency in SQL and one other programming language (e.g., R, Python, C++, Minitab, SAS, Matlab, VBA - knowledge of optimization engines such as Gurobi is a plus)
- Proficiency in any data visualization software (e.g., Power BI, Tableau, Qlik, D3, Shiny)
- Demonstrated experience in machine learning and mathematical optimization methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation, linear optimization, mixed integer programming etc.)
- Specific experience in Bayesian regression, Hierarchical linear regression, clustering/segmentation, and unsupervised learning would be a preferred
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