Data Scientist - Retail

Responsibilities

- Analyze and model structured data using advanced statistical methods and implement algorithms and software needed to perform analysis

- Deliver projects around customer & marketing analytics including ad-hoc requests originating from enterprise wide brands.

- Determine the significant relevance of new data sets to a business strategy and how to potentially integrate in to existing investment strategies.

- Contribute to in house product development based on analytical methodologies.

- Query structured & unstructured data (from hybrid sources & platforms) and perform exploratory data analysis for further advanced modeling

- Present ideas and findings with actionable recommendations in an easily consumable manner.

- Participate in peer reviews of projects & assist other analysts to process & synthesize multiple & large data sets

Education

- B.S. degree in Computer Science, Mathematics, Statistics

- M.S. in Computer Science, applied mathematics, statistics, operations research, quantitative social sciences will be preferred

Skills / Experience

- 3-5 years of relevant experience in customer/marketing/merchandising analytics role preferably in retail domain

- Strong understanding of computer technology with strong programming skills. Expert level proficiency R, Python.

- Experience in working with relational databases (Teradata, Oracle) with advanced SQL programming skills

- In-depth knowledge of statistical procedures that are applied in Supervised / Unsupervised problems

- Basic-Intermediate level proficiency in SAS (Base SAS, Enterprise Guide, Enterprise Miner) & in UNIX

- Track record of applying machine learning techniques to marketing and merchandizing ideas

- Experience in Big Data platforms like Hadoop platforms (Map-R, Hortonworks & others), Aster and Graph Databases

- Strong written & verbal communication skills. Ability to communicate complicated statistical analytical concepts & solutions to business stakeholders in a simplified comprehendible manner

- Experience in operations research / optimization will be good to have.