Senior Data Scientist
Company Name:-
Ascena Retail Group, Inc.
Job Location:-
Pataskala, OH 43062
Job Summary:-
Job detailsJob TypeFull-timeFull Job DescriptionBrand Overview:
ascena is a leading national specialty retailer offering apparel, shoes, and accessories for women through our brands Ann Taylor, LOFT, and Lou & Grey, Lane Bryant and Cacique.
We operate ecommerce websites and over 1200 stores throughout the United States.
Ready to apply? We currently have an opportunity for a Senior Data Scientist to join our team located at our Corp Remote Locations-ascena-Pataskala, OH 43062.
Position Overview:
ascenas Advanced Analytics group is seeking an exceptional, highly motivated and self-directed Senior Data Scientist to be responsible for performing data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge data technologies.
This role will interact with and impact multiple enterprise-wide functions, including technology, marketing analytics, merchandise planning & allocation, digital, customer experience, store operations, performance marketing, supply chain and others as the organization modernizes and evolves data sciences.
In this role, you will:
Build and deploy machine learning models to solve challenging and complex business problems.
Perform and present exploratory analysis to provide insight to business leaders.
Be an analytics thought leader within the department and larger analytics function.
Work closely with business leaders to identify and design analytical solutions across multiple functions.
Lead, coach and train junior data science resources domestically and offshore (technology & innovation center in Bangalore).
Communicate results and recommendations to senior management.
Research next-generation machine learning techniques.
Qualifications:
6-8 years working in data science field performing data analysis and building Machine Learning models.
Solid foundation in Math, Statistics, or Computer Science.
Strong programming skills in Python or R and SQL.
Real world experience building and orchestrating Machine Learning pipelines (e.
g.
KubeFlow) a plus.
Experience with MLOps a plus.
Experience working in Cloud environment.
Preferred experience with CI/CD, Docker & Kubernetes.
Experience in retai
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