Associate Director, HR Data Science Solutions

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Description: In support of HR, the Associate Director of HR Analytics develops and delivers analytical assessment and modeling capability to the HR Leadership community across the enterprise, to drive competitive advantage and analytically informed decision making.

Key Responsibilities and Major Duties

• Utilize expertise in data science and machine learning to ideate, design, develop, model, and deploy advanced solutions.

• Collaborate with HR stakeholders to define project objectives, formulate data-driven hypotheses, and identify key performance indicators (KPIs) for analysis.

• Gather, pre-process, and explore large-scale structured and unstructured data from diverse HR sources.

• Apply advanced statistical analysis, machine learning algorithms, and predictive modeling techniques to extract insights and develop models that generate actionable recommendations.

• Conduct exploratory data analysis (EDA) to identify patterns and anomalies in the data and propose effective solutions to business problems.

• Develop and implement predictive models (e.g., regression, clustering, time series forecasting) to address complex business challenges.

• Operationalize machine learning and artificial intelligence analytics models on ML Ops platform.

• Collaborate with data engineers and IT teams to ensure data availability, quality, and reliability for analysis and modeling purposes.

• Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through clear and compelling visualizations, reports, and presentations.

• Mentor junior members of the team, providing guidance, support, and knowledge sharing to help them develop their skills and grow professionally.

• Stay up-to-date with the latest methodologies and best practices in statistical analysis, machine learning, and data science to continuously enhance skills and knowledge.

Qualifications:

• Bachelor's degree (BA/BS) required, preferably in a quantitative area of study. A master's degree (MBA or other graduate degree) is preferred.

• Minimum of 5 years of relevant experience, with advanced degrees contributing to the required years of experience.

• Hands-on experience in designing and deploying machine learning models is preferred.

• Strong proficiency in data science Python/R libraries

• Proven experience in managing large, complex projects with multi-functional team members.

• Proficiency in programming languages such as Python/R, SQL, and familiarity with tools like Tableau and MS Office Suite.

• Proficiency in using Git for version control.

• Excellent communication and presentation skills, with a proven ability to explain complex analyses and outcomes to both technical and non-technical stakeholders.

• Experience in the HR domain is a plus, demonstrating an understanding of HR data and related challenges.

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.

Uniquely Interesting Work, Life-changing Careers
With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest poten