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.

Principal Data Scientist

Your tasks and responsibilities

Looking to be a driver in a digital transformation?  If so, this is an opportunity you will want to be a part of!


Data & Analytics is a key capability required to enable Bayer's digital transformation and become a data-driven company.  In this role, you will be well-positioned within the Advanced Analytics team to ensure Bayer leverages data as an asset.  The position will be responsible for developing analytic models and scalable analytical solutions (information products) that generate insights to drive a competitive advantage within the Life Sciences commercial space.  This position will be a part of our growing Advanced Analytics team with ability to mature our capabilities and provide predictive insights across each of our divisions and functions with focus on solving key business questions.


The Data Scientist is responsible for performing statistical analysis on data and delivering insights to business stakeholders across functional / process content area supporting all Bayer Businesses in the U.S.   Need to have in-depth knowledge about statistical and mathematical analytical techniques, work with the organization to explore and gather the right data, and produce scientifically sound and impactful presentation of the results to facilitate data driven decisions making. 


Got your interest?  Here are just a few responsibilities you would have:


The primary responsibilities of this role, Principal Data Scientist, are to: 


  • Use own and leverage others deep business domain knowledge to design data-analytics approach and determine the appropriate data sets and variables to solve them;
  • Curate large sets of structured and unstructured data from disparate sources, cleanse and validate the data to ensure accuracy, completeness, and uniformity; with extending company’s data to third party sources of information when needed;
  • Select features, build and optimize classifiers using machine learning techniques;
  • Perform data mining using state of the art methods;
  • Develop stories and visualization to effectively communicate complex qualitative analysis in clear, precise and actionable manner;
  • Work closely with business and functions, data stewards, project/program managers and other IT teams to turn data into critical information and knowledge that can be used to make sound organizational decisions;
  • Contribute to ongoing data science efforts, utilize available data sets and data science best practices to identify business risks and opportunities;
  • Liaise with the central Scaled Analytics solution team to industrialize relevant data science products in the commercial space;
  • Create automated anomaly detection systems and constantly track its performance.
  • Domestic Relocation Assistance is Available as well as sponsorship.


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 statistics, applied mathematics, data science, computer science, or related areas with at least 10 years’ of experience in a data analytics domain  OR Master's Degree with at least 8 years’ of experience in a data analytics domain OR Doctorate Degree with at least 3 years’ of experience in a data analytics domain OR a combination of 12 years education and experience in data analytics domain can be substituted;
  • Experience in Pharmaceutical or consumer health industry or relevant business experience to Bayer business, with at least 3-5 years’ of experience in data analytics domain;
  • Experience with statistical research techniques, including modeling, data mining, clustering, and segmentation;
  • Experience with techniques such as AI, Machine Learning, NLP, Graph Theory
  • Experience with one or more programming languages including R and/or Python
  • Experience with SQL or other querying language
    • Ability to effectively communicate data insights through the right medium (dashboard, graph etc.)
    • Strong integrated consultancy skillset
    • Demonstrates ability to learn quickly and problem solve
    • Fluent in spoken and written English language


Preferred Qualifications:


  • Prior experience in Commercial analytics space;
  • Knowledge of retail/consumer panels syndicated market measurements.

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
Functional Area:
Entry Level: