About the role

Manage analytics initiatives for product development and launch at Bristol Myers Squibb, engaging with stakeholders and utilizing advanced data science techniques.

Responsibilities

Supporting Business Decisions - Work closely with PDS senior leaders to identify and address priority business questions related to CMC development, new product introduction and business operations.
Develop and Deploy Analytics and AI Capabilities – Answer key business questions using innovative analytic and data science techniques. Support the development of core analytical and data science tools including AI and machine learning models, ETL (extract, transform, and load) data processes, and statistical methodologies.
Driving Team Productivity and Operational Excellence – Consistently apply coding and data analysis best-practices and standards within the PDS BI&T aligned tech stack.
Author detailed documentation that describes development, assumptions, input data and data processing.
Conduct walkthroughs and peer reviews of work to ensure quality, cross-training, and knowledge management.
Design, develop, and implement a broad array of data analysis applications that solve complex problems in a computationally efficient and statistically appropriate manner.
Build for data automation, cloud computing and data lake integration within the team.
Explore new opportunities to further leverage data and analytical tools.
Ensure best practice adoption within stated areas of responsibility, applying appropriate levels of technical capability, standardization and subject matter expertise.

Bachelor’s degree in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 4+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models OR • Ph.D. in Data Science, Engineering, Business Analytics, Finance, or other quantitative field with 1+ years of experience in data science, data analytics, applied AI/machine learning and/or statistical models
Demonstrated proficiency in data science and data engineering, including SQL, Python, dbt in production/operational environments
Experience in basic data architecture and database concepts
Experience in working with probabilistic methods, including Monte Carlo Simulations, probability theory, Bayesian methods is a plus.
Experience in the life sciences and/or pharmaceutical industry preferred
Experience interacting with business stakeholders: understanding, anticipating, and fulfilling their insight/analytical information requirements.
Strong project management skills
Strong written and verbal communication skills
Ability to learn new tools and skills quickly and gain and apply PDS specific knowledge.
Proven ability to independently balance and prioritize across multiple projects in parallel.
Ability to work with diverse teams across organizational lines and structures.

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.