Sr Manager, Analytical AI Forecasting - Princeton NJ

Company: Msccn
Location: Princeton
Posted on: April 2, 2026

Job Description:

Job Description ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers . If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post. Description: This role is responsible for leveraging technical expertise to develop and deploy cutting-edge data science and machine learning solutions across all Forecasting applications, with focus primarily on Commercial Demand. This role is pivotal in transforming our enterprise forecasting capabilities, shaping strategies, and implementing advanced methodologies, processes, and technologies that will accelerate insight generation and enhance decision-making and planning across the organization. Key Responsibilities and Major Duties: Contribution to Analytical AI Community: Contribute as part of a dynamic group of data scientists, machine learning engineers, and forecasting SMEs. Help inspire and shape the organizational mindset to leverage forecasting as a strategic tool for identifying risks and opportunities, driving impactful decision-making and planning. Development, implementation, maintenance, and analysis of AAI Forecasting Solutions: Contribute to the build of advanced forecasting models using statistical, machine learning, and AI techniques. Lead analyses of large datasets to identify trends, patterns, and insights that inform forecasting models. Collaborate with cross-functional teams, including finance, marketing, and operations, to understand business needs and translate them into data-driven forecasting solutions. Continuously monitor and improve the accuracy and performance of forecasting models. Communicate complex data insights and forecasting results to stakeholders in a clear and actionable manner. Design and conduct experiments to validate model assumptions and improve forecasting accuracy. Develop and maintain documentation for forecasting models, processes, and procedures. Provide mentorship and guidance to junior data scientists and analysts within the team. Continuous Innovation: Stay up-to-date with latest advancements in data science, machine learning, and forecasting methodologies; seek new opportunities to deploy next-generation capabilities that drive high impact across the enterprise. Best Practices Implementation: Partner with stakeholders to facilitate and implement best practices in forecasting, data science, and machine learning. Continuously monitor the external data science landscape to identify and apply new capabilities that support technological evolution and business performance. Cross-Functional Collaboration: Work collaboratively with analytics and business stakeholders to propose and implement innovative methodologies, process improvements, and technology solutions. Engage with Finance, Commercial, Market Access, and Analytics teams in the preparation, presentation, and discussion of forecasting results. Performance Monitoring and Analytics: Contributes to the performance and impact assessments of newly deployed capabilities across the portfolio. Additional Qualifications/Responsibilities Qualifications/Degree/Certification/Licensure: Educational Background: BA/BS required (quantitative area of study preferred). MBA or other graduate degree preferred. Technical Proficiency: Proficiency in Python/R, SQL, Tableau, and MS Office Suite. Experience with Git and cloud-based environments (AWS, Azure, etc.) and/or experience in commercial forecasting is preferred. Communication Skills: Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders. Experience: 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 large, complex projects with multi-functional team members. LI-Hybrid AIEngineering If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Compensation Overview: Princeton - NJ - US: $152,150 - $184,370

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