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Data Scientist
Ref No.: 18-17963
Location: Whippany, New Jersey
Qualifications (Education, skills, experiences and personal characteristics necessary for success in this position):
  • Bachelor's degree in statistics, applied mathematics, data science, computer science, or related areas with 10 or more years of experience OR Master's degree with eight years of experience OR Doctorate with three or more years OR an equivalent combination of education and experience can be substituted
  • 8+ years' 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
  • Passionate about data and analytics applications in the commercial space. Prior experience in Commercial analytics space is a plus
  • Knowledge of retail/consumer panels syndicated market measurements is a plus
  • Experience with techniques such as Machine Learning, NLP, Graph Theory, AI
  • Experience with one or more programming languages such as Python, Java, R, or Scala
  • 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
  • Exceptional organizational and interpersonal skills and a broad external network
  • Fluent in spoken and written English language

Major Tasks and Responsibilities of Position (max 8 topics):
  • 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
  • Develop statistical, machine learning models to identify patterns and trends from the data sets
  • Develop stories and visualization to effectively communicates 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