✦ Luna Orbit — Data & Analytics

Senior Manager, Analytical AI Forecasting and Predictive Solutions

at Bristol-Myers Squibb

📍 Princeton - NJ - US Hybrid 💰 $152K – $184K USD / year Posted March 30, 2026
Salary $152K – $184K USD / year
Type Full-Time
Experience lead
Exp. Years 3+ years
Education BA/BS in quantitative field; MBA preferred
Category Data & Analytics

Senior Manager, Analytical AI Forecasting and Predictive Solutions leads data science and forecasting initiatives across forecasting applications, focusing on commercial demand and enterprise forecasting improvements.

  • Contribution to Analytical AI Community
  • Develop, implement, maintain AI forecasting solutions
  • Monitor model performance
  • Collaborate cross-functionally with Finance, Commercial, Market Access, and Analytics
  • Design experiments to validate models

Develops advanced forecasting models with statistical and ML techniques; uses Python/R, SQL, Tableau; works with cloud platforms AWS/Azure; mentors junior scientists; communicates results to finance, marketing, and analytics teams.

The ideal candidate is a data scientist/forecasting expert with 3+ years of advanced analytics experience, proficient in Python/R, SQL, Tableau, and cloud environments, and able to drive pharmaceutical forecasting initiatives in a healthcare/biopharma setting.

BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred.Proficiency in Python/RSQLTableauand MS Office Suite.Experience with Git and cloud-based environments (AWSAzure) and/or experience in commercial forecasting is preferred.Excellent communication and presentation skillswith a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.A minimum of 3 years of hands-on experience in advanced analytics and data science. Hands-on experience with pharmaceutical forecasting is preferred.Cross-Functional Collaboration: Proven experience in operating largecomplex projects with multi-functional team members.
MBA or other graduate degreeHands-on experience with pharmaceutical forecastingExperience with big data toolsPharmaceutical industry experience
PythonRSQLTableauMS Office SuiteGitAWSAzure
BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred; Python/R; SQL; Tableau; MS Office; Git; AWS; Azure; cloud; pharmaceutical forecasting; commercial forecasting; cross-functional collaboration; stakeholder communication
PythonRSQLTableauMS Office SuiteGitcloud-based environments (AWSAzure)pharmaceutical forecastingcommercial forecasting
excellent communicationpresentationcross-functional collaborationleadershipmentoring
Industry Healthcare & Medical
Job Function Lead analytical AI forecasting initiatives to improve commercial forecasting and decision-making across the enterprise
Role Subtype Data Scientist
Tech Domains Python, SQL / PostgreSQL, Tableau, Amazon Web Services, Microsoft Azure
data scientistforecastingmachine learningpythonrsqltableaugitawsazurecloudpharmaceutical forecastingcommercial forecastingcross-functional collaborationstakeholder communicationmbabspharmahealthcaredata science

3+ years hands-on analytics, Ability to work hybrid in Princeton, BA/BS in quantitative field required, MBA preferred

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