Statistical Forecaster / Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Responsible for working with the Modeling Capability Lead and partnering with the Demand Planning Business Unit Leads to identify, implement and ultimately deliver forecasting solutions which provide the necessary levels of both near and longer-term forecast accuracy across all the Business Units (BU’s)

• Partner with Demand Planning BU Leads to ensure that the statistical forecasting solution effectively address the needs for the BU and further provides business insights & learnings.
• Conducts post performance forecast analytics to determine root cause of performance gaps and generate hypotheses to codify the optimal forecasting solution approach for each BU.
• Conduct causal factor analytics to determine the most optimal factors that should be incorporated into the forecasting solution.
• Support hypothesis development and test execution to continuously refine the Demand Planning software applications including but not limited to SAS HPF and ETS as well as foundational processes. This may result in SAS HPF parameter tuning and/or code development.
• Assists in developing reporting capability to provide proactive alert notification for demand planning end users as well as insights for other stakeholders.
• Work with Business and Information Systems, Center of Excellence, Consulting Partners and other organizations to drive necessary system changes including but not limited to continuous improvement work on SAS HPF as well as deployment of models to BU’s.
• Utilize Analytical capability and detailed data analysis to drive continuous improvement of modeling capability over both the short and long-term horizons.
• Compiles summary reports and performs statistical analysis.

Qualifications/Requirements

• Bachelors or Masters (Preferred) in Mathematics, Statistics, Operations Research or Econometrics.
• 2-5 Years’ experience in a corporate environment; experience in CPG or retail planning environment preferred.
• Experience with statistical modeling languages such as SAS High Performance Forecast (HPF) ideal, with proficiency equivalent to SAS Macros 1 coursework desired.
• Intermediate programming ability in SAS, R, or Python (SAS Preferred)
• Very strong analytical skills.
• Ability to present quantitative data in an easy-to-understand manner that balances both analytics as well as business implications.
• Ability to support continuous improvement or capability development work streams including scope definition, analysis, recommendations, and implementation.
• Effective communication skills, with ability to work across and present to multiple levels and different organizational functions.
• Proficient Computer skills: MS Office specifically MS Excel.
• Experience with packaged Demand Planning Software is desired (i.e., SAP APO).
• Cross functional experience working with other functions, e.g., Sales, Finance and other Supply Chain functions.
• Must be willing and able to travel 5-10% of the time.