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Senior Data Science Analyst

Bayer
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YOUR TASKS AND RESPONSIBILITIES

 

The primary responsibilities of this role, Senior Data Science Analyst, are to:

 

  • Work with partners in Manufacturing, Manufacturing Sciences, Quality and Process Development to:
    • (a) improve process monitoring and reduce reaction time to potential undesired events
    • (b) perform root-cause analyses involving complex and large data sets
    • (c) apply advanced data analysis and simulation techniques to improve process understanding and recommend process improvements
  • Collect and extract data from manufacturing IT systems and perform the necessary work to prepare the data for analysis;
  • This may involve establishing the context of the data an addressing missing data;
  • May develop scripts or other tools to perform pre-processing of very large data sets;
  • Perform advanced statistical analyses (inferential, descriptive, experimental design, multivariate data analysis and machine learning);
  • Provide technical assessments based on data analysis and process knowledge;
  • Develop tools and applications for enhanced process monitoring;
  • Develop mathematical models to simulate bio-manufacturing processes or cellular functions and behavior;
  • Work jointly with Eningeering & Technology and divisional partners to propose operational or engineering solutions issues identified through mathematical analysis;
  • Document findings in technical reports and/or presentations;
  • Communicate as necessary to realize value for the company and help partners to understand and interpret results and recommendations.

     

WHO YOU ARE

 

Your success will be driven by your demonstration of our LIFE values. More specifically related to this position, Bayer seeks an incumbent who possesses the following:

 

Required Qualifications:

 

  • Ph.D.in Engineering or Science with zero-two years of experience; OR
  • M.S.in Engineering or Science with two to four years of relevant experience; OR
  • B.S.in Engineering or Science with six or more years of relevant experience;
  • Is able to independently develop and implement complex technical solutions and possesses strong critical thinking and problem-solving skills;
  • Is a subject matter expert in statistics, data-driven modeling and machine learning;
  • Has strong computer programming skills (experience in Python required);
  • Working knowledge of querying databases and experience with mining and pre-processing complex datasets;
  • Experience in developing, evaluating and applying machine learning methods to solve real-world problems in areas such as predictive analytics, pattern recognition, classification and anomaly detection;
  • Demonstrates the ability to think creatively and takes initiative;
  • Is able to learn new technical topics and develop new technical skills quickly;
  • Possesses excellent oral and written communication skills;
  • Is able to clearly and effectively communicate complex concepts;
  • Willingness to travel up to 10% annually.

 

Preferred Qualifications:

 

  • Background or interest in life sciences;
  • Working knowledge of MATLAB programming;
  • Experience with unstructured data;
  • Familiarity or experience with software development lifecycle;
  • Experience with deep learning, big data and cloud computing.

 

*Relocation assistance can be provided.