McKesson
Senior Data Scientist
McKesson, Richmond, Virginia, United States, 23214
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
Responsibilities:
Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
Design and execute experiments to test hypotheses and validate models.
Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
Build and maintain scalable data pipelines and data processing systems.
Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
Stay updated on advancements in data science, machine learning, and analytics.
Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
Collaborate with the Enterprise Analytics team to integrate new practices and technologies.
Minimum Requirements:
Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment.
Critical Skills:
Hands-on experience building and delivering Enterprise Data Solutions.
Extensive professional experience with Big Data systems, data pipelines, and data processing.
Familiarity with data privacy standards, methodologies, and best practices.
Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure.
Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML.
Expertise in Unix Shell scripting and Dependency driven job schedulers.
Expertise in Data visualization tools such as Power BI, Tableau, and Looker is a plus.
Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL friendly data structures.
Additional Skills:
Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.
Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
Proficient in any of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Education:
Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience.
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position:
$124,200 - $207,000
McKesson is an Equal Opportunity Employer.
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information.
Join us at McKesson!
#J-18808-Ljbffr
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you.
Responsibilities:
Analyze large and complex datasets to uncover patterns, trends, and insights that can improve business performance and decision-making.
Develop predictive models, machine learning algorithms, and statistical models to solve complex business challenges.
Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions.
Design and execute experiments to test hypotheses and validate models.
Apply advanced statistical techniques and data mining algorithms to extract actionable insights from structured and unstructured data.
Build and maintain scalable data pipelines and data processing systems.
Communicate findings and recommendations to stakeholders, including non-technical audience, through visualizations, reports, and presentations.
Stay updated on advancements in data science, machine learning, and analytics.
Strong focus on delivery and Agile methodologies, leading projects from conception to implementation.
Collaborate with the Enterprise Analytics team to integrate new practices and technologies.
Minimum Requirements:
Typically requires 7+ years of hands-on work experience developing and applying advanced analytics solutions in a corporate environment.
Critical Skills:
Hands-on experience building and delivering Enterprise Data Solutions.
Extensive professional experience with Big Data systems, data pipelines, and data processing.
Familiarity with data privacy standards, methodologies, and best practices.
Practical hands-on experience with data technologies and Cloud Platforms like Hadoop, Hive, Redshift, Big Query, Snowflake, Databricks, GCP, and Azure.
Hands-on experience working on analytical platforms like SAS, R, Python, Azure ML.
Expertise in Unix Shell scripting and Dependency driven job schedulers.
Expertise in Data visualization tools such as Power BI, Tableau, and Looker is a plus.
Ability to understand API Specs, identify relevant API calls, extract data, and implement data pipelines & SQL friendly data structures.
Additional Skills:
Excellent communication and interpersonal skills, with the ability to engage and influence with technical teams, business leaders, and external partners.
Proven track record as a Data Scientist, delivering data-driven solutions to complex business challenges.
Demonstrated expertise in building and deploying AI/Machine Learning solutions at scale.
Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, scikit-learn).
Strong knowledge of statistical techniques, machine learning algorithms, and data mining techniques.
Proficient in any of the following applied analytical techniques - clustering, regression analysis, time series analysis, NLP, neural networks, KNN, association rules, decision trees, logistic regression or similar.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Education:
Bachelor’s or master’s degree in computer science, Data Science, Information Technology, or a related field OR equivalent experience.
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position:
$124,200 - $207,000
McKesson is an Equal Opportunity Employer.
McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information.
Join us at McKesson!
#J-18808-Ljbffr