Retail Expansion Network Optimization (RENO) Data Science team is seeking an experienced and motivated Data Scientist to work on driving strategic projects across multiple geographies. The environment is fast-paced with constant new challenges to solve. If you believe you are a good fit or you know someone who is a good fit, please contact us.
The ideal candidate will have outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills. They will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. This role will also build tools and support structures needed to analyze data and dive deep to determine root causes of systems errors. The candidate will also have the opportunity to present findings to cross functional team partners to drive improvements.
A qualified candidate must have demonstrated ability to manage medium-scale modeling projects, identify requirements and build methodology and tools that are statistically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. Strong written and verbal communication skills are a must as this role will be in frequent contact with internal customers. The person in this role will be expected to provide clear and concise explanation to analyses and approaches as well as provide opinion and guidance on problem solving.
Analyze and extract relevant information from business data to help automate and optimize key processes
Research/use data mining, machine learning, statistics and optimization techniques to create new, scalable solutions for business problems
Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
Manipulating/mining data from database tables (Redshift and S3)
Root cause research to identify process breakdowns within departments and providing data through use of various skill sets to find solutions to breakdown
Foster culture of continuous engineering improvement through mentoring, feedback, and metrics. Create automated metrics using complex databases