Job Information
Bristol Myers Squibb Associate Director, HR Data Science Solutions in Princeton, New Jersey
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 potential of each of our colleagues.
On-site Protocol
BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:
Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.
BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility to access our complete Equal Employment Opportunity statement.
BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters.
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
Company: Bristol-Myers Squibb
Req Number: R1582167
Updated: 2024-06-28 03:18:57.074 UTC
Location: Princeton-NJ
Bristol Myers Squibb is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, pregnancy, citizenship, marital status, gender expression, genetic information, political affiliation, or any other characteristic protected by law.