Manager, Analytical AI - Engineering

Bristol Myers Squibb; Princeton (NJ); Hybrid; USD 114,000 - 139,000; Full time

Job summary

A leading company is seeking a Manager of Analytical AI to contribute technical expertise in developing and maintaining data science and machine learning pipelines. This role entails working with a hands-on team to ensure reliable and scalable solutions, requiring strong skills in Python, data engineering, and machine learning frameworks.

Benefits

Medical, pharmacy, dental and vision care

401(K) and financial well-being resources

Up to 120 hours of paid vacation

Tuition reimbursement

Flexible work hours

Qualifications

• BA/BS with 2+ years experience (quantitative area preferred).
• Proficiency in Python, R, SQL, and Tableau.
• Excellent communication skills to explain analyses.

Responsibilities

• Support data science and machine learning solutions.
• Design and maintain data science pipelines.
• Develop tools for data scientists to work effectively.

Skills

Python

R

SQL

Tableau

MS Office Suite

MLOps

Communication

Education

BA/BS in quantitative area

MBA/MS or other graduate degree

Tools

Scikit-Learn

TensorFlow

PyTorch

Git

AWS

Azure

Job description

Description: Manager of Analytical AI - Engineering team contributes technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products.

Key Responsibilities and Major Duties

• Member of a hands-on team of data engineers and machine learning engineers.

• Work within the Analytical AI team to support a wide variety of data science and machine learning solutions.

• Contribute to the hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.

• Contribute to develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively.

• Apply ML and Analytical techniques in support of solving business problems and data explorations.

Qualifications/Degree/Certification/Licensure

• BA/BS with 2+ years of experience (quantitative area of study preferred)

• MBA/MS or other graduate degree preferred

• 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 preferred

• Experience with cloud-based environments (AWS, Azure, etc.) preferred

• Experience with MLOps preferred

• Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

The starting compensation for this jobis a range from $114,580-$138,800, plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.

Final, individual compensation will be decidedbased on demonstratedexperience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefitofferingsare subject to the terms and conditions of the applicable plans then in effectand may include the following: Medical, pharmacy, dental and vision care. Wellbeing supportsuch asthe BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.

#LI-Hybrid

Description: Manager of Analytical AI - Engineering team contributes technical expertise to develop, deploy, and maintain data science and machine learning related pipelines, solutions, and products.

Key Responsibilities and Major Duties

• Member of a hands-on team of data engineers and machine learning engineers.

• Work within the Analytical AI team to support a wide variety of data science and machine learning solutions.

• Contribute to the hands-on design, deployment, and maintenance of pipelines for data science related products and machine learning solutions, ensuring reliability, scalability, and maintainability.

• Contribute to develop and maintain cutting-edge tools and frameworks empowering data scientists to work efficiently and effectively.

• Apply ML and Analytical techniques in support of solving business problems and data explorations.

Qualifications/Degree/Certification/Licensure

• BA/BS with 2+ years of experience (quantitative area of study preferred)

• MBA/MS or other graduate degree preferred

• 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 preferred

• Experience with cloud-based environments (AWS, Azure, etc.) preferred

• Experience with MLOps preferred

• Excellent communications and presentation skills. Proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

The starting compensation for this jobis a range from $114,580-$138,800, plus incentive cash and stock opportunities (based on eligibility).

The starting pay rate takes into account characteristics of the job, such as required skills and where the job is performed.

Final, individual compensation will be decidedbased on demonstratedexperience.

Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.

Benefitofferingsare subject to the terms and conditions of the applicable plans then in effectand may include the following: Medical, pharmacy, dental and vision care. Wellbeing supportsuch asthe BMS Living Life Better program and employee assistance programs (EAP). Financial well-being resources and a 401(K). Financial protection benefits such as short- and long-term disability, life insurance, supplemental health insurance, business travel protection and survivor support.Work-life programs include paid national holidays and optional holidays, Global Shutdown Days between Christmas and New Year’s holiday, up to 120 hours of paid vacation, up to two (2) paid days to volunteer, sick time off, and summer hours flexibility.Parental, caregiver, bereavement, and military leave. Family care services such as adoption and surrogacy reimbursement, fertility/infertility benefits, support for traveling mothers, and child, elder and pet care resources. Other perks like tuition reimbursement and a recognition program.