Senior Data Scientist

Senior Data Scientist

  • Anywhere

Company Name:-
Grainger

Job Location:-
Lake Forest, IL 60045

Job Summary:-
Company Overview
Grainger is a broad line, business-to-business distributor of maintenance, repair and operating (MRO) supplies and other related products and services.

More than 3.

2 million businesses and institutions worldwide rely on Grainger for products such as safety gloves, ladders, motors and janitorial supplies, along with services like inventory management and technical support.

These customers represent a broad collection of industries including commercial, government, healthcare and manufacturing.

They place orders online, on mobile devices, through sales representatives, over the phone and at local branches.

Approximately 5,000 suppliers provide Grainger with more than 1.

6 million products stocked in Grainger’s distribution centers and branches worldwide.

At Grainger, we help keep people safe and businesses humming through innovative solutions, state of the art technology, and world class service.

As the industry market leader in and tenth largest e-retailer in North America, our people are the differentiating factor and what has made us successful for 90 years and counting.

We continue to grow and evolve by investing in our people, new technology and truly understanding the needs of our customers.

We pride ourselves in helping our customers “get it done!”

Position Description
Primary Function
Data Science application areas span across Recommender Systems, Machine Learning, Deep Learning, Resource Optimization Solutions, NLP etc.

Projects often encompass research, design, coding, testing, scaling and implementation.

The ideal candidate for this position is someone with strong programming experience, someone with strong analytical and problem-solving skills and someone who is willing to research approaches to tackle new problems.

The candidate should be able to work independently and be comfortable reaching out to colleagues in the larger team.

Principal Duties & Responsibilities
Data mining and exploration, model development and evaluation, solution deployment, measurement, and tracking
Research and develop data driven solutions to new and challenging business problems
Build machine learning algorithms including Regression, Decision Trees, Bayesian, Clustering, SVM, Neural networks and recommender

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