Senior Data Scientist in Artificial Intelligence

BayerUS Bayer USA

Bayer is a global enterprise with core competencies in the Life

YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, the Senior Data Scientist in LifeSciences are to:

Work with internal and external technology experts on  A.I. (Artificial Intelligence) projects to define scope, design algorithms and validate solutions;

Evaluate partners, service providers and suppliers in the area of A.I. (Artificial Intelligence);

Communicate and speak the language of developers in A.I. (Artificial Intelligence);

Read and comment and validate A.I. (Artificial Intelligence) software development reports and validation reports and sign off software releases;

Design machine learning/data mining algorithms to solve real world problems in drug development or process optimization;

Develop software system in  R or Python or other machine learning languages to implement the algorithms and to deploy the solutions;

Operate in a fast, dynamic environment focused on AGGRESSIVE  growth and work independently and effectively across the global organization;

Identify issues, orchestrate actions, and direct resolution across a global and cross functional group of colleagues;

Work in a global matrix organization model and interact effectively and develop consensus with all levels of management/senior management within a multi-functional team environment;

Adhere to global project management best practices and standards and helps direct the IT community in those practices.

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:

Bachelor’s degree in a relevant business or technical field with a minimum of ten (10) years experience in applying machine learning/data mining technology to real world problems, Master’s degree with eight (8) years experience, or a Ph.D. with six (6) years of experience;

Detailed knowledge of software development lifecyle, business process management, project management concepts, best practices and related polices;

Demonstrated ability to work in a global matrix organization model and interact effectively and develop consensus with management within a multi-functional team environment;

Highly developed communication (oral and written), conflict management, and effective influencing skills are all important, as relationships must be developed and maintained with senior management;

Innovative, persistent and committed to a successful completion of assignments on-time with complete accuracy;

Exceptional organizational and interpersonal skills.
Preferred Qualifications:

Three (3) plus years of experience in R or Python;

Five (5) plus years of other machine learning languages (i.e. MATLAB, SAS);

Experience with big data analytics (i.e. Hadoop, Sparc) and one of the deep learning tools (i.e. Caffe, Tensorflow, CNTK, MXNet, Theano).