- Process and analyze sales data; gather additional data sources that would improve model accuracy
- Analyze price elasticity on promotions and develop algorithms to optimize promotional budgets
- Build mathematical models to represent demand forecasting at various levels.
- Prototype these models by using high-level modeling languages such as R or in software languages such as Python. A software team will be working with you to transform prototypes into production.
- Create, enhance, and maintain technical documentation, and present to other scientists and business leaders.
Experience:
- 2+ years- experience building, iterating and validating statistical models
- Working knowledge of data cleaning, machine learning, and analytics techniques.
- Fluency in R, Python or a similar modeling language and in SQL
- Proficiency in at least one modern programming language such as Java or C++ (Opt)
- Experience with large data sets
- Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
- Working knowledge of visualization tools (e.g. Tableau, Shiny, D3)
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