Working at Bristol Myers Squibb is a challenging and meaningful experience that can transform the lives of patients and careers of employees. The company offers a wide variety of competitive benefits, services, and programs that provide employees with the resources to pursue their goals, both at work and in their personal lives.
Requirements
- Bachelor’s degree in business analytics, data science, engineering, finance, or another quantitative field
- 5+ years of experience with applied machine learning, statistical models, time-series modeling, or quantitative forecasting
- 5+ years of experience with SQL, Python, and/or R in production/operational environments
- Experience in data architecture and database concepts
- Experience working with probabilistic methods, including Monte Carlo simulations, probability theory, and Bayesian methods
- Strong project management skills
- Strong critical thinking and problem-solving skills
- Excellent interpersonal, collaborative, and communication skills
- Ability to learn new tools and skills quickly and apply GPS-specific knowledge
- Proven ability to lead small teams/groups and prioritize work across multiple deliverables simultaneously
Benefits
- 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
- Paid Time Off
- Flexible time off (unlimited, with manager approval, 11 paid national holidays)
- 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays
- 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
- Annual Global Shutdown between Christmas and New Years Day
