Bayer is a global enterprise with core competencies in the Life Science fields of health care and agriculture. Its products and services are designed to benefit people and improve their quality of life. At Bayer you have the opportunity to be part of a culture where we value the passion of our employees to innovate and give them the power to change.

Director, Data Science

Your tasks and responsibilities


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


  • Define predictive analytics capabilities, tools and approaches to support the BCH divisional strategy;
  • Propose how to best build predictive analytics capabilities within the business unit, including recommended methods and tools;
  • Partner with other senior leaders to build a culture of data-driven decision making across the organization;
  • Identify and build relationships with potential external consulting firms/vendors or parties who may assist in the building of the predictive analytics capability;
  • Serve as a sparring partner for senior leaders to inform usage of predictive methods/tools for enhancing business units’ needs;
  • Build diagnostic and predictive models using first and third party data, tests model results and verifies model performance;
  • Build frameworks and quality control mechanisms to ensure highest levels of data integrity;
  • Engage with Business unit leaders (GM, VP, Director) to thoroughly understand the key strategic questions that can materially improve business performance;
  • Proactively identify potential business problems that can be addressed via new advanced predictive analytics approaches;
  • Partner with Advanced Analytics Insights team to identify the most appropriate analytical tools to address strategic questions;
  • Pressure tests recommendations for credibility and action ability;
  • Follow through with leaders to understand outcomes;
  • Objectively assess outcomes and builds real world learnings into future inquiries.


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 required, with at least 10 years of experience in life sciences, healthcare, consumer packaged goods, financial services, media, and/or digital;
  • Expertise in one or more core analytics methods including predictive modeling, machine learning, unstructured data analytics, simulation and optimization techniques;
  • Direct user experience in one or more data mining tools such as SAS, R, Matlab or SPSS;
  • Demonstrated track record in influencing without authority;
  • Passion for problem solving through data analytics, in particular ability to apply in a decision making context;
  • Excellent communication skills, both oral and written, with the ability to speak clearly and concisely in front of large groups;
  • Fosters respect for diversity while resolving conflict collaboratively;
  • Ability to:
    • Create an environment which encourages innovation and risk-taking;
    • Build confidence and trust in others;
    • Demonstrate consistency between promises and actions.


Preferred Qualifications:


  • PhD highly preferred in a relevant Data Science field;
  • Background in predictive analytics, marketing analytics (marketing mix modeling, trade promotion analytics, sales forecasting, digital analytics, pricing analytics), big data, management consulting, and/or finance.

Your application

Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and you have the "Passion to Innovate" and the "Power to Change", we encourage you to apply now. Job postings will remain open for a minimum of ten business days and are subject to immediate closure thereafter without additional notice. To all recruitment agencies: Bayer does not accept unsolicited third party resumes.

Bayer is an Equal Opportunity Employer/Disabled/Veterans


Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.


Country: United States
Location: NJ-Whippany

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