Data Scientist

DuPont

Elsmere, DE

Full Time

Mid Level

14 days ago

Job Description

About the Role

At DuPont, our purpose is to empower the world with essential innovations to thrive. We work on things that matter, such as providing clean water, producing materials for everyday technology devices, and protecting workers globally. We are a market leader in specialty materials across sectors including electronic devices, housing construction, protective garments, and water purification. Our team plays a vital role in driving innovation and technical contributions, and we are seeking a highly skilled Data Scientist to join our growing team in Wilmington, DE. This position offers an exciting opportunity to collaborate on research and development, manufacturing, and business projects, leveraging statistics and data science to support various organizational initiatives.

Key Responsibilities

Collaborate with internal clients on research and development, manufacturing, and business activities.
Contribute to new product development and enhance existing products through data analysis.
Implement continuous improvement processes in manufacturing and operational efficiency.
Develop demand and sales forecasts using statistical methodologies.
Optimize supply chain processes to enhance productivity and reduce costs.
Identify and leverage marketing and sales opportunities through data insights.
Conduct product testing in field applications and analyze results.
Design and implement machine learning algorithms and models for predictive analysis.
Manage the full lifecycle of data science applications from conceptualization to product development.
Present data analysis results effectively to non-technical stakeholders.
Stay updated on industry trends and advancements in data science and machine learning.

Requirements

PhD degree or a Master's degree with at least 2 years of experience in a science or engineering technical field.
Strong coding skills in R or Python, with a focus on data preparation, regression, and visualization.
Formal education in statistics, including regression analysis and hypothesis testing.
Solid background in machine learning and deep learning techniques, particularly in clustering, classification, and supervised learning methodologies (e.g., random forest, xgboost).
Proficiency in working with large language models (LLMs) and experience in developing Generative AI technologies.
Familiarity with Natural Language Processing (NLP), ontology, knowledge graphs, and advanced retrieval techniques.
Experience in SQL database queries and data visualization tools (e.g., PowerBI).
Ability to autonomously develop algorithms and applications using data science tools including data wrangling, clustering, outlier removal, predictive modeling, optimization, and time series forecasting.
Excellent self-learning abilities and strong interpersonal and communication skills to convey complex technical concepts to diverse audiences.

Nice to Have

Experience in developing Generative AI technologies.
Knowledge of Natural Language Processing (NLP), ontology, knowledge graphs, and advanced retrieval techniques.
Experience with large language models (LLMs).

Qualifications

Degree in a science or engineering technical field (PhD or Master's with experience).

Benefits & Perks

DuPont offers a comprehensive pay and benefits package.
Additional details available on the Compensation and Benefits page.

Working at DuPont

DuPont is committed to ensuring a smooth and successful separation process for its businesses, fostering an inclusive environment as an equal opportunity employer, and encouraging new talent to contribute to the company's continued success and growth.

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