About this opportunity
McKesson lists this Senior Data Scientist opportunity in irving, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
We are seeking a passionate senior data scientist to join our team to lead in fostering a data-driven culture. The candidate will join our Automation and AI/ML Operation service offerings under Data and Advanced Analytics department. The candidate should possess substantial technical expertise in driving the data-driven decision making.
The candidate will collaborate with cross-functional teams to identify business challenges, design experiments, and develop innovative solutions using advanced analytics techniques and machine learning algorithms. Additionally, mentor junior team members, ensuring delivery excellence.
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.
Familiarity with data privacy standards, methodologies, and best practices.
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 with Big Data systems, data pipelines and data processing.
3+ years of experience with data technologies and Cloud Platform like Snowflake, Databricks, and Azure.
Hands-on experience working on analytical platforms like Ruby, R, Python, Azure ML.
Experience in Data science model review, code refactoring optimization, containerization, deployment and monitoring ML models.
Experience in Data science Model testing, validation and Test Automation.
Expertise in Data visualization tools such as Power BI, Tableau and Looker.
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.
Proficient in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g. XGBoost, Ray framework).
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.
Candidate must be authorized to work in the U.S, now or in the future, without the support from McKesson.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
Industries
Hospitals and Health Care
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Worksite address
irving, TX, 75084, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.