Bristol Myers Squibb
Senior Manager, Analytical AI - Engineering
Bristol Myers Squibb, Princeton, New Jersey, us, 08543
Overview
Senior Manager, Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Responsibilities
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications built in frameworks like Dash, Streamlit and R Shiny. Apply NLP techniques in support of solving business problems. Qualifications
BA/BS required (quantitative area of study preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience; relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands-on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills; ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Compensation and Benefits
The starting compensation range for this role is $152,150 - $184,370 (Princeton - NJ - US). Additional incentive cash and stock opportunities may be available. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits may vary by job and location. Benefits may include medical, dental, vision, wellness programs, 401(k), life and disability insurance, paid leave, holidays, vacation, volunteer days, and other programs. See the careers site for details: https://careers.bms.com/life-at-bms/. Equal Employment Opportunity
BMS is committed to an inclusive workplace. Applicants can request reasonable accommodations at any stage of the recruitment process by contacting adastaffingsupport@bms.com. See careers.bms.com/eeo-accessibility for the full statement.
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Senior Manager, Analytical AI - Engineering team provides technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products. Responsibilities
Member of a hands-on team of data engineers and machine learning engineers. Work cross functionally with analytics and business stakeholders to rapidly pilot and deploy a wide variety of data science and machine learning solutions. Hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability. Develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively. Develop a close working relationship with data science teams to facilitate and implement best practices relating to machine learning engineering, data engineering, and MLOps. Build, deploy, and maintain data science related applications built in frameworks like Dash, Streamlit and R Shiny. Apply NLP techniques in support of solving business problems. Qualifications
BA/BS required (quantitative area of study preferred). MBA/MS or other graduate degree preferred. Minimum of 3 years of experience; relevant advanced degrees contribute to required years of experience. Proficiency in Python/R, SQL, Tableau and MS Office Suite. Hands-on experience with designing and deploying machine learning models using Scikit-Learn, TensorFlow, PyTorch, etc. is preferred. Experience with Git. Experience with cloud-based environments (AWS, Azure, etc.). Experience with MLOps. Proven experience in leading large, complex projects with multi-function team members. Excellent communications and presentation skills; ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Compensation and Benefits
The starting compensation range for this role is $152,150 - $184,370 (Princeton - NJ - US). Additional incentive cash and stock opportunities may be available. Final, individual compensation will be decided based on demonstrated experience. Eligibility for specific benefits may vary by job and location. Benefits may include medical, dental, vision, wellness programs, 401(k), life and disability insurance, paid leave, holidays, vacation, volunteer days, and other programs. See the careers site for details: https://careers.bms.com/life-at-bms/. Equal Employment Opportunity
BMS is committed to an inclusive workplace. Applicants can request reasonable accommodations at any stage of the recruitment process by contacting adastaffingsupport@bms.com. See careers.bms.com/eeo-accessibility for the full statement.
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