below marketmost similar roles pay hereabove market
This role pays more than
64%
of similar roles. Most pay
$135,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$182k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About McKesson Corporation
McKesson Corporation is a premier American healthcare services company that distributes pharmaceuticals, medical-surgical supplies, and provides technology to the healthcare industry.
McKesson Corporation currently has
110 open roles
on FindRole.
Listed pay typically runs
$126,000–$210,000
across 73 roles with salary data.
JOB TITLE: Sr. Data Scientist, Pharmaceutical Supply Chain
The Sr. Data Scientist, Pharmaceutical Supply Chain joins the Commercial Strategy & Innovation team to develop data-driven solutions that accelerate business growth and enhance customer outcomes. This role involves the full solution lifecycle, from ideation and proof of concept to production deployment. You will design heuristics, optimization models, and advanced analytics to improve operational efficiencies and margin expansion. Key responsibilities include building scalable Python-based APIs, developing AI agents for natural language data interaction, and creating data pipelines. You will utilize Python libraries like Pandas, Scikit-learn, and NumPy, alongside advanced SQL for complex dataset manipulation. The role requires applying machine learning techniques such as clustering, regression, and time series analysis to solve pharmaceutical supply chain challenges and identify market trends.
What does a Data Scientist earn?
Median $173200 from 351 postings across 62 companies.
Develop data-driven solutions using advanced analytics, AI, and machine learning to accelerate business growth.
Design and develop heuristics, optimization models, and advanced analytics solutions across customer and operational domains.
Build and scale AI agents that enable business users to interact with data using natural language.
Develop and deploy scalable Python-based APIs and data products that integrate with enterprise systems.
Build scalable data pipelines and support digital data acquisition and integration strategies.
Drive experimentation and causal learning through pilots and A/B testing to quantify business impact.
Present findings, recommendations, and business cases to senior leaders and cross-functional stakeholders.
Break down complex business challenges into scalable workstreams to drive solution adoption and implementation.
What we're looking for
Bachelor's degree in Business, Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field, or equivalent experience.
Typically requires 7+ years of relevant professional experience in analytics, data science, business intelligence, strategy, or a related discipline.
5+ years of experience in analytics, data science, business intelligence, or a related field.
Hands-on experience with Python, including libraries such as Pandas, Scikit-learn, and NumPy.
Advanced SQL skills with experience querying and manipulating large, complex datasets.
Strong understanding of machine learning techniques, including clustering, regression, anomaly detection, forecasting, classification, deep learning, and time series analysis.
Experience building, deploying, or leveraging AI and generative AI solutions within business environments.
Experience working in healthcare, distribution, pharmaceutical, or supply chain environments (preferred).
Python
R
Java
SQL
Hive
Machine Learning
Deep Learning
Operations Research
Mixed-Integer Programming
Stochastic Dynamic Programming
Reinforcement Learning
Time Series Forecasting
Regression
Clustering
PCA
Data Structures
Algorithms
Simulation