Lead Data Scientist
BrigitFull Time
Expert & Leadership (9+ years)
Candidates must possess a Bachelor's degree in a quantitative field and have a minimum of 5 years of experience. Proficiency in Python/R and SQL is required, along with hands-on experience in designing and deploying machine learning models using frameworks like Scikit-Learn, Tensorflow, or Pytorch. Experience with Git, cloud environments (AWS, Azure), and MLOps is also necessary. An MBA or other graduate degree is preferred and can contribute to the required years of experience.
The Associate Director of US Predictive Customer Engagement will develop and deliver analytical assessments, solution designs, and modeling capabilities to enhance customer experience and engagement across the portfolio. This role involves ideating, designing, developing, modeling, and deploying advanced solutions using machine learning and analytics to predict next best actions. Responsibilities include building and owning predictive machine learning solutions, translating complex model insights into business language, partnering with the broader Data Science & AI Predictive Solutions organization, and leading large data science projects independently.
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.