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Job Information

DuPont Data Scientist- Safety and Construction in Wilmington, Delaware

Data Scientist- Safety and Construction (Job Number: 213179W-01)

Description

INTRODUCTION

DuPont is seeking highly motivated Data Scientist to join a new but fast-growing data science team in the Safety & Construction division, DuPont’s largest division by sales. The Safety & Construction division develops innovative products in essential markets such as water purification, green buildings, and personal protection (e.g. Tyvek® protective suits, Kevlar® ballistic vests). As part of this team you will have a high impact on a strategic digital transformation initiative with opportunities for leadership and advancement as the team grows.

THE ROLE & RESPONSIBILITIES

In this role you will drive a wide variety of data science projects ranging from business optimization (pricing, marketing, sales, etc), supply chain & manufacturing (e.g. yield optimization, predictive maintenance, industry 4.0), and product development (e.g. IoT, autonomous systems). You will work collaboratively with business and technical partners to rapidly advance projects from ambiguously-defined ideas to value-creating solutions in production. The ideal candidate will be highly versatile and willing to take on different roles as required to deliver a solution, including exploratory data analysis, data mining, data cleaning, and communication of results. The ideal candidate will be focused on achieving business objectives through data science, willing to pivot quickly from dead ends, and have strong collaboration & communication capabilities with non-technical business colleagues.

Qualifications

Your qualification profile:

Required

  • Bachelor’s degree or higher in a STEM, business analytics, Science, or related field.

  • 2+ years relevant experience work is a Data Scientist type of role

  • Excellent communicator and collaborator; able to communicate clearly to influence decision making.

  • Strong experience manipulating & analyzing data in Python or R using packages such as Pandas, Numpy, and Matplotlib

  • Strong analytical mindset & ability to apply statistics

Preferred

  • Experience with statistical analysis, ML, and AI in python (e.g. using packages such as SciPy, Scikit Learn, TensorFlow)

  • Experience using Microsoft Azure service platforms (e.g. Databricks, MLflow, etc)

  • Experience with manufacturing use cases such as process optimization and predictive maintenance

  • Experience with supply chain use cases such as demand forecasting, inventory management, and supply chain optimization

  • Experience with business use cases such as marketing analytics, pricing optimization

  • Experience with text analytics / natural language processing

Please note relocation is not approved for this role

At DuPont, we have an unbridled commitment to deliver essential innovations that enrich people’s lives, enable sustainable development and foster human potential for generations to come.

Innovations developed from highly engineered products and naturally sourced ingredients shape industries and everyday life. From smarter homes to more efficient cars, from better ways of digitally connecting to new tools that enable active and healthy lifestyles…in all these areas and many more, we’re working with customers to transform their ideas into real world answers that help humanity thrive.

Coupled with core values and excellent compensation & benefits… Together, we’re turning possibilities into real world answers that help humanity prosper!

Primary Location: NA-United States-Delaware-Wilmington

Organization: Safety & Construction

Schedule: Full-time

Education Level: Bachelor's Degree (±16 years)

Employee Status: Regular

Job Type: Experienced

DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information. For US Applicants: See the “Equal Employment Opportunity is the Law” poster.

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