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Form of workAt DuPont, we are working on things that matter; whether it's providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers in this global pandemic.
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Our purpose is to empower the world with essential innovations to thrive. We work on things that matter!
Get to know our Purpose and make it yours by bringing innovations to market that improve the world, share a commitment to sustainability that makes our planet better and give back to communities in which we work and live.
Get to Experience a collaborative environment where teamwork is celebrated with flexibility that enhances balance and an inclusive atmosphere that is welcoming to all!
Have the Opportunity to chart your own course, challenge yourself, and acquire new capabilities to build a rewarding and fulfilling career. We reward employees with competitive pay and incentives to recognize skills, competencies, and contributions to business results.
E&I is on a data transformation journey to build data analytics as a source of competitive advantage. The E&I Business Intelligence Team is leading this transformation by applying modern data technology to high value business problems across E&I. Advanced analytics (e.g., ML & AI) will be a key driver of long-term value as part of this transformation. As such, we are currently seeking a Data Scientist Lead to collaborate with stakeholders across the entire E&I organization to build and execute on a portfolio of high value data science projects. The candidate is expected to lead a team of 3-4 Data Scientists across the globe and provide functional guidance to 10 other Data Scientists across the organization. The Data Scientist Lead will play a key role in advancing E&I's data science maturity in alignment with DuPont's enterprise data strategy. The ideal candidate will have a track record of successfully identifying and implementing data science initiatives in the context of an organization with low data science maturity.
Your Key Responsibilities:
- Collaborate with business and technical stakeholders to identify high value data science opportunities across all E&I LOBs & functions.
- Assess technical feasibility of opportunities through exploratory data analysis and preliminary modeling.
- Lead execution high priority projects in collaboration with business stakeholders, E&I data engineers / scientists, and internal/external contract resources.
- Coach business teams on change management / capability development for capturing value from production data science solutions.
- Provide guidance to data engineering teams on data priorities to support future exploratory & production data science work.
- Educate business leadership and stakeholders on the value of data science through case studies of successful E&I data science projects.
- Implement work product in DuPont's Azure environment (Databricks, Azure Datalake, Azure Devops) using Python and SQL languages.
Your Qualification Profile:
- Strong understanding of DuPont E&I business processes and related data across R&D and Integrated Ops
- Strong understanding of fundamental data science principles and methodologies
- Track record of successful implementation of data science projects in the context of an organization with low data science maturity.
- Skills with azure tech stack for data science. Azure Databricks, Azure DataLake, Python (Pandas, SKL). Spark (PySpark, Spark SQL) is a plus.
- Bachelor's degree in Technology, Computer Science, Engineering, Business Information Systems, or a related field
- 5+ years of experience working in a similar global role
- Previous people leadership experience is required
Please note this is a hybrid role and candidates must live within a commutable distance to one of the site locations. Employees usually work 3 days onsite and 2 days remote
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.
