Senior Data Scientist
Company: MCKESSON
Location: Richmond
Posted on: October 19, 2024
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Job Description:
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 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 Platform 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. For more information regarding benefits at McKesson,
please click here. Our Base Pay Range for this position $124,200 -
$207,000McKesson 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. For additional information on McKesson---s
full Equal Employment Opportunity policies, visit our Equal
Employment Opportunity page. Join us at McKesson s-p-m1 By
applying, you consent to your information being transmitted by
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Employer---s data processor SonicJobs. See McKesson Privacy Policy
at
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Keywords: MCKESSON, Blaine , Senior Data Scientist, Other , Richmond, Minnesota
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