Data Scientist Job - King of Prussia, United States - Arkema

Arkema

Verified Company

King of Prussia, United States

4 weeks ago

Posted by:

Mark Lane

beBee recruiter

The Data Scientist is responsible for providing and interpreting information for collaborators, both in the Business units and R&D.

Interacts predominantly with R&D and BU staff at Arkema research sites, as well as with Purchasing, international colleagues, and external vendors.

Collaborates with colleagues in other geographies as appropriate for achieving specific project goals.

Establishes knowledge of Arkema products and processes for the BUs that are supported and a general understanding of business interests and markets.

Key Activities

Provides data acquisition, data management, mining, statistical analysis, and optimization capabilities to support Arkema's business units, manufacturing plants, R&D and potentially external customers
Justifies and brings new data acquisition, analysis, modeling and optimization capabilities to the group
Organizes and leads projects and strategic initiatives with broad impact across the organization
Estimates project requirements, timing and delivers on project milestones
Writes technical reports and research proposals
Generates creative solutions for a variety of scientific and technology projects
Develop/manage databases and associated tools to support Arkema R&D initiatives
Establishes and maintains strong working relationships with R&D, Process Technology, plant and business personnel to facilitate technology transfer, identify new projects and promote data analytics
Builds and maintains extensive professional global network internally and externally with Arkema scientists and academic collaborators
Effectively represent the R&D Systems Research team at multiple levels within the company
Presents work at technical conferences and actively participate in professional organizations taking leadership roles as appropriate
Active participate in and support Arkema safety initiatives

Qualifications / Experience required

D. in Chemistry, Chemical Engineering, Mathematics, Statistics, Physics or related discipline -or

M.S. in Data, Library or Information Science, or equivalent experience
Strong mathematical and statistical background
Experience with data mining and information retrieval
Proficiency in analysis (e.g. R, SAS JMP, Minitab, Matlab) packages
Proficiency in programming languages (e.g. Python, Ruby, Java, Scala)
Experience with machine learning is desirable
Lean Six Sigma green belt certification desirable
Excellent written and oral communication skills
Strong interpersonal skills with a track record of collaboration and teamwork
Selfstarting ability with exceptional time and project management skills
Demonstrated ability to multitask, can lead and advance multiple projects in parallel