Forecasting AI Manager — Remote, Impactful Analytics

Bristol Myers Squibb; Princeton (NJ); On-site; USD 96,000 - 116,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid holidays

Paid vacation

Job summary

Bristol Myers Squibb in Princeton, NJ seeks a Manager, Analytical AI Forecasting and Predictive Solutions to develop and deliver advanced forecasting, machine learning, and forecasting models across Commercial Demand. You will partner with senior team members and cross‑functional stakeholders to translate business needs into analytical solutions that drive planning and decision‑making.

The role emphasizes hands‑on delivery, technical depth, and collaboration, with responsibilities spanning model

Qualifications

• BA/BS in a quantitative field required; MBA or other graduate degree preferred.
• Proficiency in Python or R, SQL, Tableau, and MS Office; Git and cloud environments (AWS, Azure) valued.
• Experience with pharmaceutical forecasting and cross‑functional collaboration preferred.

Responsibilities

• Develop and maintain forecasting models using statistical and ML techniques.
• Collaborate with Finance, Commercial, Market Access, and Analytics teams to translate business questions into analytical solutions.
• Communicate forecasting results and insights to technical and non‑technical stakeholders.
• Monitor model performance and support continuous improvements in forecast accuracy.

Skills

Python/R

SQL

Tableau

Git

Cloud (AWS/Azure)

Education

BA/BS in quantitative field

MBA or graduate degree preferred

Tools

MS Office

Job description

Bristol Myers Squibb in Princeton, NJ seeks a Manager, Analytical AI Forecasting and Predictive Solutions to develop and deliver advanced forecasting, machine learning, and forecasting models across Commercial Demand. You will partner with senior team members and cross‑functional stakeholders to translate business needs into analytical solutions that drive planning and decision‑making.

The role emphasizes hands‑on delivery, technical depth, and collaboration, with responsibilities spanning model