Lead Data Scientist
BrigitFull Time
Expert & Leadership (9+ years)
Candidates must possess a Bachelor's degree in a quantitative field, with a preference for an MBA or other graduate degree. A minimum of 3 years of experience is required, along with proficiency in Python/R and SQL. Experience with designing and deploying machine learning models using Scikit-Learn, Tensorflow, or Pytorch, along with familiarity with Git, cloud-based environments (AWS, Azure), and MLOps, is essential.
The Senior Manager, Predictive Customer Engagement will develop and deliver analytical assessments, solution designs, and modeling capabilities to enhance US customer experience and engagement across the portfolio. Key duties include ideating, designing, developing, modeling, and deploying advanced solutions using machine learning to predict next best actions. The role involves building and owning predictive machine learning solutions, translating complex models into business language, partnering with the broader Data Science & AI Predictive Solutions organization, and monitoring the external analytics landscape to apply new capabilities.
Develops and delivers biopharmaceutical medicines
Bristol Myers Squibb (BMS) develops and delivers medicines aimed at treating serious diseases, focusing on areas like cancer, autoimmune diseases, and heart conditions. The company conducts extensive research and development to create new drugs, which are sold after receiving regulatory approval. BMS also produces generic drugs, offering affordable alternatives that meet the same quality standards as their branded counterparts. What sets BMS apart from competitors is its dual focus on both innovative and generic medicines, enhancing access to healthcare. The company's goal is to improve patient outcomes while maintaining a commitment to sustainability and corporate responsibility.