Hybrid job in NJ for multi-billion dollar retailer
Salary and full benefits including medical, dental, 401k and vacations
RESPONSIBILITIES
- Support business areas including Allocations, Inventory and Supply Chain Analytics teams with insights gained from analyzing company and external data.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions
- Mine and analyze data from the data warehouse to drive optimization and improvement of product allocation, marketing strategy and drive sales
- Develop predictive models using various algorithms and come up with the best outcomes for business to follow
- Coordinate with different functional teams to implement models and monitor outcomes
- Develop processes and tools to monitor and analyze model performance and data accuracy
- Create presentation of gained insights and explain it to stakeholders
EXPERIENCE REQUIREMENTS
- Bachelor's Degree required / Master's Degree preferred
- 5+ years as a Data Scientist with extensive background in building ML models, data mining and statistical analysis
- 5+ years coding in Python / PySpark or equivalent
- 3+ years building retail operations ML models (e.g. Demand Forecasting, Inventory Allocation, Carton Forecasting, etc.) at different store product hierarchy mapping levels (e.g. at store-SKU and store-Division models, etc.)
- Using/creating algorithms and creating/running simulations.
- Using Databricks and Snowflake
- Applying machine learning algorithms (e.g., supervised and unsupervised learning, deep learning)
- Optimization models for real-world business problems, including model development, optimization and deployment in production environments
- Retail Operations with Supply Chain and Inventory datasets
- Analytical tools like Power BI, MicroStrategy, Tableau, Looker, etc.
- Writing SQL code to access data from the data warehouse
- Able to understand various data structures and common methods in data transformation
- Excellent pattern recognition and predictive modeling skills
- Presenting end-to-end models/results for different stakeholders in a company
Nice to haves
- Snowflake
- SaaS
- Netezza
- Data processing
- Database programming
- Data analytics