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