Bachelordegree in mathematics, Computer Science, Data Science, Applied Statistics, or a related field, masterpreferred.
Overall, all 4 to 7 Years and >3 yearsexperience building statistical modelling tools & underlying algorithms, optimization / machine learning, and data mining models.
Experience analysing large, complex data sets yielding opportunities for revenue and/or process improvement within an organization.
Ability to problem solve and identify creative solutions.
Understanding of data lakes and relational databases
Experience in data visualization tools (Power BI, Tableau, SAS Analytics) a plus.
Interpersonal skills: exceptional verbal/written communication, listening and presentation skills with attention to detail.
Proven track record of achieving desired results without direct report authority.
Knowledge of Agile/Scrum methodology a plus
This project is Timeseries revenue and inventory forecasting, market basket analysis.