Amerisource Bergen

Data Scientist II

Amerisource Bergen$95K — $115K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a quantitative field or equivalent experience.
  • 2+ years in data science, applied analytics, or quantitative modeling.
  • Proficient in Python and SQL.
  • Strong grounding in statistics and machine learning methodologies.
  • Experience with data pipeline tools and model deployment.
  • Familiar with data processing libraries like pandas and PySpark.
  • Proficiency with version control systems (e.g., Git).
  • Health and related industry experience is highly desired.
  • Familiarity with cloud-based platforms (e.g., Databricks, Azure) is a plus.

Responsibilities

  • Own the end-to-end delivery of analyses, defining success metrics and practical trade-offs.
  • Explore and prepare structured and semi-structured datasets from multiple sources.
  • Build and maintain data pipelines for analytics and model support.
  • Design, validate, and iterate on statistical and machine learning solutions.
  • Conduct hypothesis-driven analysis and model evaluation.
  • Deploy models into production, monitor performance and data drift.
  • Partner with stakeholders to frame problems and influence priorities.
  • Communicate insights, recommendations, and assumptions clearly to various audiences.

Benefits

  • Comprehensive medical, dental, and vision care.
  • Support for working families including backup dependent care and adoption assistance.
  • Paid parental and caregiver leave to support employees' personal needs.
  • Access to professional development programs and mentorship opportunities.
  • Participation in employee resource groups and volunteer activities.
Full Job Description
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

About Amerisource Bergen

AmerisourceBergen Corporation is a pharmaceutical distribution company headquartered in Chesterbrook, Pennsylvania. It was founded in 2001 through the merger of AmeriSource Health Corporation and Bergen Brunswig Corporation. The company distributes a wide range of pharmaceutical products, including brand-name and generic drugs, specialty drugs, and over-the-counter medications. AmerisourceBergen serves healthcare providers, including hospitals, pharmacies, and physician practices, as well as pharmaceutical manufacturers. The company is committed to sustainability and has implemented several initiatives to reduce its environmental impact.
Learn more about Amerisource Bergen
Size
21,000 employees
Industry

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