The data scientist position is part of the DuPont Science & Innovation
competency in data discovery and data analytics. In this role, you
will be responsible for modeling complex problems, discovering
insights and identifying opportunities through the use of statistical,
machine learning, mining and visualization techniques. You will be
part of a team that work closely with internal stakeholders from
emerging technologies, R&D, engineering, business and marketing, and
other data/informatics teams in business units, to turn data into
critical information and knowledge that can be used to make sound
business decisions. You will become a critical competency and member
in a fast-growing team that contributes to decisions that impact the
company s growth and innovation.
DuPont offers an excellent benefits package that begins on your first
day of employment. This includes a generous 401k match, health and
dental insurance, 15 days of vacation, a variable bonus plan, and much
The responsibilities of this position include:
Collaborate with stakeholders to identify the business requirements,
formulate lists of research questions in analytics terms, and the
Design experiments with DOE methodology by working with researchers
in a wide spectrum of R&D activities that span chemistry, material
science and biology.
Identify and select relevant and credible data sources, and provide
technical instructions to data analysts to collect, integrate and mine
Identify and analyze patterns. test hypotheses, and build models.
Conducts advanced data analysis and complex algorithm to help
stakeholders to discover and quantify leading information.
Solves stakeholders problems through analytics and communicate
results and methodologies through an iterative collaboration process.
Partner with stakeholders to ensure the expected qualification and
assurance of the information.
Design and lead implementation of analytics pipelines and
visualization by collaborating with other data/informatics teams.
Scout, test and recommend new analytics algorithms and models to the
Educate the organization on new analytical approaches to drive
acceleration of business decision.
Collaborate with other data scientists to develop the strategy of
the data analytics competency and prioritize development needs.
The following are required:
A graduate degree in technical fields or statistics with strong
More than 2-year of data analytics and data science project
Formal education in Statistics, including Design of Experiments,
regression and hypothesis testing, multi-variance analysis, time
Proficiency in Machine Learning techniques e.g. supervised and
unsupervised methods, classifications, clustering, Forests, LASSO, PCA
Strong coding skills in R and/or Python, including data processing,
statistics, ML, and visualization.
Familiar with computational modeling (e.g. electron, molecule,
meso-scale) principles and databases.
Familiarity in data modeling using relational databases and
analytics with Big Data platforms.
Familiar with Linux OS and Cloud PAAS.
Other preferred skills: AngularJS, web service and visualization
tools (e.g., PowerBI, Tableau, Spotfire).
Self-learner with the intellectual curiosity to keep abreast of
advances in their field, and learn the scientific language spoken by
their clients within the company.
Strong business acumen with the ability to translate business
problems to data analytics requirement and design data models and
analytics pipelines to resolve the problems.
Excellent communication and customer-facing skills with the ability
to explain technical approaches and rationale of findings in
easy-to-understand terms to scientists, engineering, and business
Excellent team player and technical leadership.
Research & Development
Feb 7, 2019, 4:41:55 PM
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