Description

You will lead hands-on data science projects applying machine learning and mathematical optimization methods.

Responsibilities

• Execute machine learning workflows including feature engineering, multivariate regression, and random forests.
• Apply mathematical optimization methods such as linear optimization and mixed integer programming.
• Develop models using XGBoost, elastic nets, and unsupervised learning techniques.
• Build data visualizations to communicate analytical findings.

Required Skills

• 8 to 10 years of hands-on experience in data science projects.
• Proficiency in SQL.
• Proficiency in Python, R, or C++.
• Experience with machine learning methods including random forests and XGBoost.
• Experience with clustering, segmentation, and unsupervised learning.
• Experience with mathematical optimization and linear optimization.
• Proficiency in data visualization tools such as Power BI or Tableau.
• Bachelor's degree in a quantitative field like Engineering, Computer Science, Statistics, Economics, or Mathematics.

Preferred Skills

• Advanced degree in a quantitative field.
• Experience with Bayesian regression, Hierarchical linear regression, or optimization engines like Gurobi.
• Domain experience in CPG, Retail, Digital Marketing, e-Commerce, or Revenue Management.

Key Skills

Education

Bachelor's degree