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.
YOUR TASKS AND RESPONSIBILITIES
Bayer U.S. LLC’s Whippany, NJ, office seeks a Data Scientist to enable scientists to identify data driven answers by building diagnostic and predictive models using first and third party data.
The primary responsibilities of this role, Data Scientist, are to:
leading design, development, and maintenance of Artificial Intelligence systems;
Applying feature engineering and iterative analytics on data to extract valuable insights from clinical and electronic health data;
advising scientists in regards to patterns and relationships in data to recommend business direction and outcomes;
researching and developing advanced machine learning algorithms which provide insights into data beyond human judgement;
translating requirements from business into advanced analytics models.
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:
Master’s degree (or foreign equivalent degree) in Information Technology, Data Analytics Engineering, Data Science, Machine Learning, or a directly related field;
three (3) years of experience in a related position;
scripting languages such as R, Python and SQL
transforming data into insights with visualization tools such as Tableau and Ggplot/Matplotlib
working with databases, e.g. SQL Server, Oracle and structured data from multiple CSVs;
working in a cloud environment (e.g. AWS, Azure);
building predictive models, regression analysis, A/B Testing, statistical modeling and data simulation, time-series forecasting, NLP and text analysis, classification algorithms, supervised and unsupervised machine learning models (e.g., SVM, Random Forest, XGBoost, Neural Networks, and KNN & K-means clustering);
research and development in data science and machine learning problems;
awareness of relevant statistical measures and machine learning performance metrics, e.g. AUC/ROC;
anomaly detection algorithms, e.g. Auto-encoders, DB-Scan;
working with/in a Unix/Linux environment and Git version control; and (xi) Agile and Scrum methodologies.
Experience can be concurrent.
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. 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.
Location: United States : New Jersey : Whippany
Division: Corporate Functions
Reference Code: 61292
+ 1 888-473-1001, option #5
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