YOUR TASKS AND RESPONSIBILITIES Bayer spa is looking for a brilliant candidate as Data Scientist for Pharmaceutical Division in Business Strategy function. The main tasks are: Applies strong expertise in machine-learning, data mining, and information retrieval to design, prototype, and builds the next-generation analytics engines and services Responsible for all the Italian Pharmaceutical BUs' Understands business problems and designs end-to-end analytics use cases Develops complex models and algorithms that drive innovation throughout the organization. This may include improving on-time performance, network planning, etc., Conducts advanced statistical analysis to provide actionable insights, identify trends, and measure performance Collaborates with model developers to implement and deploy scalable solutions Provides thought leadership by researching best practices, conducting experiments, and collaborating with industry leaders WHO YOU ARE Degree in Engineering, Computer Science or Informatics, Mathematics or Statistics At least 2-3 year of experience in a Data Science, analytical or primarily data focused environment Experience in statistical modelling and machine learning techniques Programming experience in at least two of the following languages: R, Python, Scala, SQL Delivery focused with a strong ability to multitask, organize and priorities. Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields Ability to work in cross functional teams Attitude to thrive in a fun, fast-paced start-up like environment Your application Are you looking for a new challenge where you can show your passion for innovation? Are you interested in working as part of a global team to improve people’s lives? Then send us your online application including cover letter, CV and references. Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.
