Description

: Dow is seeking a passionate data scientist to accumulate and analyze large amounts of historical process data from multiple geographical asset locations to develop data-driven guidelines to better mitigate a chronic fouling issue that plagues a key piece of process equipment. If you like analyzing complex data sets, you might find it exciting to deal with transient state data going through periodic cycles. This fouling issue results in productivity slowdowns and excessive downtime of the assets. As our assets look to make changes towards a more circular and sustainable mode of operation, this fouling phenomenon could become more prevalent unless we are able to better understand the interactions of variables that impact the fouling mechanism(s).

About Dow

Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 31 countries and employ approximately 35,900 people. Dow delivered sales of approximately $45 billion in 2023. References to Dow or the Company mean Dow Inc. and its subsidiaries. ​​​​Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting .

As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career.