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Data Scientist / Process Engineer

Date: Mar 26, 2021

Location: Mobile, AL, US

Company: Evonik Industries AG

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See what chemistry can do for your career: careers.evonik.com


Exploring opportunities. Growing together.

 

VACANCY REFERENCE NUMBER 129435
 

Data Scientist / Process Engineer

The term of employment is limited to months.

 

Location: United States : Mobile, AL

Function: Engineering

Career Level: Experienced professionals (2-5 years)

Legal Entity: Evonik Corporation

Business Line: Process Technology & Engineering

 

What we offer

You will work on exciting and challenging topics together with a team in an ultra-modern, innovative and creative environment. Intensive on-the-job training with expert colleagues guarantees you will quickly become familiar with your duties and perform them independently. Performance related pay and the opportunity for personal and professional development are of course part of the package. Since 2009 Evonik Industries AG has been certified as a family-friendly company by the German Hertie Foundation.

Click here to learn more about Evonik from our employees

Evonik has an immediate opening at our Mobile, AL, location. This position leads and supports continuous improvement processes for the North America region, predominantly through the application of data science and machine learning methodologies. The support is given through consulting, mathematical data analysis, machine learning model selection and deployment, visualization, improvement tracking and project leadership & participation. The incumbent is perceived to be significantly adding to the overall deployment of data science and machine learning within the company for the North America region and even globally.

 

RESPONSIBILITIES

  • Initiating and execution of data analysis, data science and machine learning projects
  • Consulting of the Evonik chemical segments in the area of data analysis, data science and machine learning project
  • End-to-end deployment of data science solution including machine learning model selection, data pipelining, and visualization
  • Project leader with full responsibility on methodologies, quality, cost, time-frame and know how protection for development projects 
  • Developing new applications of data science and machine learning principles to asset maintenance, plant quality/cost/yield optimization, product development and business intelligence
  • Performing analysis on cost reduction and turnover increase potential 
  • Providing industry best practices and standardization of data science methodologies
  • Implementation and methodology transfer to/from other in-house sites
  • Close cooperation and networking with operative units, internal and external development units and global competence centers
  • Support on building and maintaining internal customer contacts as well as cooperation with external solution providers, universities and research institutes
  • Support on marketing the methodology
  • Support the development of data science and machine learning into a growing service for the region
  • Consult Evonik Venture Capital on investments in the area of data science
  • Serve as a key contact point in the region
     
 

REQUIREMENTS

  • BS Degree in Chemical Engineering or related field
  • General understanding of manufacturing or chemical production processes
  • 2+ years’ Work experience within manufacturing industry 
  • 2+ years’ background in mathematical and statistical methods
  • Significant hands-on experience with data science and machine learning methods (Supervised and unsupervised learning, time-series analysis/forecasting, anomaly detection, prediction modeling, etc.)
  • Experience with R, Python or other statistical/machine learning software
  • Strong problem-solving ability
  • Improvisation, coordination, and organization skills
  • Proactive, flexible and good sense of responsibility
  • Strong written and spoken English
  • Excellent communication skills and ability to work in a team
  • Willingness to travel on a regular basis at 25% (mainly domestic, sometimes international)
 

Your Application

To ensure the fastest process of your application and to protect the environment, please apply online via our careers portal at https://careers.evonik.com.

Only applications that are submitted via our online application tool can be considered.

Please address your application to Woody B Burke. If you have any questions regarding the application process, please contact Mr. Antonio Bello (antonio.bello@evonik.com).

VACANCY REFERENCE NUMBER 129435

Please note that Evonik will not accept any unsolicited application documents sent by staffing firms. Evonik works in conjunction with preferred service providers and will not pay any fee to staffing firms in the absence of an appropriate framework agreement. Should Evonik receive a candidate profile from a staffing firm with which it has no framework agreement, and should this candidate subsequently be considered in the recruitment process or offered employment, no claims from the staffing firm will be entertained in this regard.
 


 


Nearest Major Market: Mobile AL