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;
Contribute to ongoing data science efforts; utilize available data sets and data science best practices to identify business risks and opportunities.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:
Bachelor’s degree in statistics, applied mathematics, data science, computer science, or related areas with 10 or more years of experience in data analytics domain OR Master’s degree with eight years of experience in data analytics domain OR Doctorate with three or more years in data analytics domain OR a combination of 12 years education and experience in data analytics domain can be substituted;
Experience in Pharmaceutical or consumer related industry, with at least three to five years of experience in data analytics domain;
Experience with statistical research techniques, including modeling, data mining, clustering, and segmentation;
Demonstrable experience in developing, validating, publishing, maintaining logical data models with exposure to or experience in developing, validating, publishing, maintaining physical data models;
Ability to evaluate existing data models and physical databases for variances and discrepancies;
Experience with managing mega data for data models;
Experience with developing, publishing and maintaining all documentation for models;
Passionate about data and analytics applications in the commercial space;
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.
Prior experience in Commercial analytics space;
Knowledge of retail/consumer panels syndicated market measurements.
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