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.
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.
If you come across a role that intrigues you but doesnt 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
The starting compensation range(s) for this role are listed above for a full-time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employees work schedule, job-related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
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/.
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include:
- Health Coverage: Medical, pharmacy, dental, and vision care.
- Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
- Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
Work-life benefits include:Paid Time Off
- US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees)
- Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
Based on eligibility*, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day.
All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.
*Eligibility Disclosure: The summer hours program is for United States (U.S.) office-based employees due to the unique nature of their work. Summer hours are generally not available for field sales and manufacturing operations and may also be limited for the capability centers. Employees in remote-by-design or lab-based roles may be eligible for summer hours, depending on the nature of their work, and should discuss eligibility with their manager. Employees covered under a collective bargaining agreement should consult that document to determine if they are eligible. Contractors, leased workers and other service providers are not eligible to participate in the program.
