Digital Data Scientist/Engineer

Key Skills

Python Programming, SQL, Cloud computing

Job Description

At DuPont, we're committed to creating sustainable solutions for the most complex challenges facing our world today.

From protective equipment, to delivering clean water and enabling smarter, faster electronics, we use our passion and proven expertise in science and innovation to make many of the things you use every day possible. In all these areas and many more, we’re working with partners to transform their ideas into real world answers that help humanity thrive.

Our core values inform every decision we make, every step we take, as we drive toward our purpose to empower the world with the essential innovations to thrive. Our premier position as a technology-driven innovation leader is due directly to our commitment to the development of our greatest resource—our people.

Join our team of fearless optimists. Let's invent a better now, together.

Job Description

The Data Scientist/Engineer will be a member of the Digital Innovation Team that will accelerate innovation for DuPont Businesses and Functions through data design and integration for delivery of world-class solutions using technologies and techniques such as Machine Learning, production data pipeline, Azure Cloud, IoT, forecasting, and visualization. This role will report directly to the Digital Data Science/Engineering Lead. The successful candidate will have the opportunity to join the DuPont Field Engineering & Supply Chain Development Program, description below.

Responsibilities:

• Participate in the design and implement data architectures for digital products
• Build descriptive, predictive and prescriptive models using Big Data, statistics, machine learning across various themes
• Implement data pipelines, sourcing, and quality control for all digital products
• Ensure security and leveragability of data used for digital products across company
• Create landscape architectures and road maps
• Introduce new technologies / tools in the area of data science and data engineering to improve efficiency and advance digital transformation throughout all Businesses / Functions
• Collaborate and foster strong relationships with Business / Function stakeholders to leverage existing data and drive digital acceleration at scale
• Utilize agile to deliver innovative solutions alongside scrum team of developers and designers

Capabilities:

• Collection and aggregation of data
• Data processing and mining
• Data modeling and analytics
• Data pipeline and digital solution development
• Data Visualization
• Cross-disciplinary team collaboration
• Written and verbal communication skills

Job Qualifications

• Pursuing or hold a Bachelor’s or Master’s in Chemical, Mechanical or Electrical Engineering degree from an ABET accredited college or university
• Pursuing or hold a Minor, Bachelor’s or Master’s in applied mathematics, computer engineering, data science, computer science, or equivalent degree from an ABET accredited college or university
• GPA of 3.0 or higher (out of 4.0 scale)
• 1-2+ years of relevant work experience in a data science and data engineering role
• Proficiency in at least 1 programming language (e.g. Python, R, etc.)
• Certified in statistics analytics and machine learning
• Experience in relational and NoSQL databases and technology
• Familiarity with Azure Cloud, PAAS, and ML Service
• Experience with data visualization tools (e.g. Power BI, Web visualization packages)
• Demonstrated understanding and experience with agile methodologies
• Strong communication experience with multi-disciplinary teams
• 100% Geographic flexibility to allow for best career development fit
• A five-year company commitment to complete a minimum of two assignments (usually 24-36 months per assignment)
• Legal right to work in the United States without restriction
• No visa sponsorships

Field Engineering & Supply Chain Development Program

This program provides early career professionals and recent graduates with the opportunity to become catalysts for change--transforming industries and improving everyday life. With an accelerated approach to career development, the program combines immersive assignments with formal education, networking, mentoring and leadership exposure through on-the-job rotational experiences.

Participants are encouraged to forge their own path by rotating through a series of two-to-three-year assignments across different businesses, locations, and functions including Operations & Engineering, Global Procurement, and Science & Innovation. Successful engineering and supply chain candidates will complete a minimum of two assignments but may complete up to five. Complete geographic flexibility is required to enable a greater pool of possibilities and diversity of cross-functional experiences.

Since the program began in 1903, thousands of alumni have advanced through the company ranks to become senior leaders, executives, and even CEOs-- and we want you to be next! We're looking for people who are ready to take on the most complex problems to improve the here-and-now. People who are curious, creative, and ready to challenge the status quo and bring about meaningful change.