YOUR TASKS AND RESPONSIBILITIES

The primary responsibilities of this role, Associate Director Machine Learning and Artificial Intelligence, are to: 

• Work closely with our business and marketing partners to identify opportunities to apply Advanced Statistical methods/models and Machine Learning/AI to solve key business problems;
• Provide commercial teams measurable insights into commercial strategies and tactics for key products in key markets;
• Own all steps in ML/AI/ Statistical model development and deployment cycle, from definition of business questions and hypotheses, to data sourcing and preparation, model development, and insight generation;
• Translate complex analytics into actionable recommendations and feasible solutions to drive business results;
• Communicate clearly and concisely using the most appropriate approach for different stakeholders;
• Work with business stakeholders on a clear vision of the final goals and the business impact;
• Demonstrate thought leadership and expertise in ML/AI/ Advanced Statistical methods to business partners.

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:

• Bachelors degree;
• At least 4 years of full-time work experience in a Machine Learning(ML)/Artificial Intelligence(AI)/Data Science/Advanced Statistics role.
• Deep expertise and knowledge of Machine Learning/AI methods and models, and advanced Statistical models and methods;
• Experience in data modeling, wrangling and visualization;
• Knowledge of cloud-based data warehousing platforms and SQL;
• Expertise/experience in Python or R, Spark, PySpark, Numpy, Pandas, Scikit-Learn;
• Strategic business acumen, a focus on results, and a demonstrated ability to identify opportunities to leverage MAL/AI to solve key business problems;
• Passionate team player;
• Ability to influence cross-functional teams to impact decision-making;
• Willingness to "have an opinion" backed up by insight and analytics and the confidence to influence key stakeholders in meetings and one to one basis;
• Strong communication and presentation skills;
• Proven track record of professional success in analytics role.

Preferred Qualifications:

• PhD;
• Expertise in deep learning;
• Experience in U.S. Pharmaceutical industry;
• Experience with U.S. Pharmaceutical claims data.

#LI-US