Hiring: Data Scientist II Company: Cencora Location: Conshohocken, PA Job Posted Time: 2026-09-16 22:03:23 Employment Type: Full-time / Hybrid Target Skills & Keywords : Azure, Data Pipeline, Databricks, Git, Machine Learning, Pandas, PySpark, Python, SQL About the job 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). Required Skills: •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. Qualifications: •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. •Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field — or equivalent practical experience. •Proficiency in Python and SQL. •Solid understanding of statistics, machine learning, and analytical problem solving, including experimentation and hypothesis testing methodologies. •Demonstrated capacity 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. •Operational familiarity with cloud-based data platforms and modern analytics ecosystems (e.g., Databricks, Azure). - highly desired Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!