Our team members are at the heart of everything we do. At Cencora, we are united in our responsibility to create healthier futures, and every person here is essential to us being able to deliver on that purpose. If you want to make a difference at the center of health, come join our innovative company and help us improve the lives of people and animals everywhere. Apply today!
Job Details
Summary:
At Cencora, data scientists work on high-impact problems at the intersection of healthcare, supply chain, operations, finance, and strategy. As a Data Scientist II, you will own small-to-medium analytics initiatives end-to-end - scoping problems, building solutions, and delivering results that stakeholders trust and act on. This role is ideal for someone who is ready to take ownership of projects with growing independence - translating business questions into analytical plans, executing with technical rigor, and communicating findings that influence real decisions. Success here is defined not just by technical quality, but by adoption, trust, and business impact.
What You Will Do:
Own end-to-end delivery of moderately complex analyses, models, and data products - from translating business questions into clear analytical plans through results delivery - defining success metrics, assumptions, and practical trade-offs along the way, with limited oversight.
Explore, profile, and prepare structured and semi-structured datasets from internal and external sources.
Build and maintain data pipelines - including extraction, transformation, and loading workflows - to support analytical and modeling workstreams.
Design, build, validate, and iterate on statistical, forecasting, and machine learning solutions appropriate to the problem at hand.
Conduct hypothesis-driven analysis, experimentation, and model evaluation.
Deploy models into production environments, implement monitoring for model performance and data drift, and support ongoing model maintenance and retraining.
Partner directly with business stakeholders on defined problems, building credibility and beginning to influence priorities through the quality of your insight.
Communicate recommendations, assumptions, trade-offs, and business implications clearly to both technical and non-technical audiences.
Write reusable, well-documented, production-quality code and uphold team standards for reproducibility, version control, responsible AI, and governance.
What You Bring:
A track record of independently delivering analytical work that drives business recommendations - not just technical outputs.
The ability to translate a business question into an analytical approach and identify practical trade-offs along the way.
Clear written and verbal communication skills, including comfort presenting findings to stakeholders and operational partners.
Curiosity, ownership, sound judgment, and a drive to continuously learn - including seeking feedback, exploring new methods, and growing your domain expertise.
Qualifications:
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field - or equivalent practical experience.
2+ years of professional experience in a data science, applied analytics, or quantitative modeling role (or equivalent depth through advanced education and applied projects).
Proficiency in Python and SQL.
Solid understanding of statistics, machine learning, and analytical problem solving, including experimentation and hypothesis testing methodologies.
Experience with - or demonstrated aptitude for - data pipeline tools and model deployment/monitoring practices.
Experience working with datasets of varying scale using common data processing libraries (e.g., pandas, PySpark).
Ability to deliver analytical work with increasing independence, including contributing to problem framing, methodology selection, and communicating results.
Proficiency with version control (e.g., Git) and writing clean, reusable code.
Experience in healthcare, pharmaceuticals, logistics, supply chain, operations research, pricing, forecasting, or commercial analytics - highly desired
Familiarity with cloud-based data platforms and modern analytics ecosystems (e.g., Databricks, Azure). - highly desired
Ability to work on-site at our Corporate HQ in Conshohocken, PA (hybrid)
What Cencora offers
We provide compensation, benefits, and resources that enable a highly inclusive culture and support our team members' ability to live with purpose every day. In addition to traditional offerings like medical, dental, and vision care, we also provide a comprehensive suite of benefits that focus on the physical, emotional, financial, and social aspects of wellness. This encompasses support for working families, which may include backup dependent care, adoption assistance, infertility coverage, family building support, behavioral health solutions, paid parental leave, and paid caregiver leave. To encourage your personal growth, we also offer a variety of training programs, professional development resources, and opportunities to participate in mentorship programs, employee resource groups, volunteer activities, and much more. For details, visit
https://www.virtualfairhub.com/cencora
Full time
Equal Employment Opportunity
Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.
The company's continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.
Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email
hrsc@cencora.com
. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned
Affiliated Companies
Affiliated Companies: AmerisourceBergen Drug Corporation
Equal Opportunity Employer/Minority/Female/Disability/Veteran
