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Data Scientist Jobs

Company

McKesson

Address , Richmond, 23233, Va
Employment type FULL_TIME
Salary $101,300 - $168,900 a year
Expires 2023-07-20
Posted at 11 months ago
Job Description
The Data Scientist role will support the development of strategic analytic solutions focusing primarily on the McKesson Medical Surgical business unit. Our team applies decision science methodologies to interdisciplinary business problems across Finance, Operations, Accounting, & Supply Chain. This position will work closely with data scientists on strategic in-flight use cases around inventory and working capital management.
The position’s objectives are:
  • Develop machine learning solutions to support new business initiatives / facilitate next best actions.
  • The candidate should possess the ability to perform statistical modelling techniques and derive business insights that are required to drive analytic innovation at McKesson.
  • Perform complex financial analysis to address targeted questions regarding working capital.
  • Develop front-end statistical finance applications in RShiny.
  • Develop data processing applications, leveraging cloud / open-source technologies.

The candidate should also be an active learner able to grasp and apply new analytic approaches, as well as mentor junior / developing resources.
Position Description:
The purpose of this position is to architect, implement, drive adoption, and measure impact of innovative analytic solutions at McKesson, as well as make significant improvements to existing solutions.
Analytic Responsibilities:
  • Design and guide implementation of model variance analysis and impact tracking framework
  • Develop statistical simulation decision frameworks
  • Develop statistical models in production
  • Support as needed improvements to the AP & AR Cash Forecasting models
  • Fully automate existing forecasting solutions
  • Support FP&A’s need for statistical modeling and forecasting

Other Responsibilities
  • Cultivate business development opportunities.
  • Support stakeholders’ analytic needs, gather user requirements, help drive adoption.
  • Assist in developing and maintaining long-term stakeholder relationships and networks.

Experience: 3+ years data science / analytics / programming experience
Minimum Requirements: BA or BS degree in a technical field such as: Economics, Accounting, Finance, Computer Science, Statistics, Applied Mathematics. CPA / CMA / CFA strongly preferred
Critical Skills:
  • Ability to communicate technical concepts to non-technical audiences
  • Demonstrated experience with enterprise data, especially ERP systems (SAP, JD Edwards)
  • Demonstrated experience data visualization skills (PowerBI, Tableau, RShiny).
  • Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc.
  • Knowledge of machine learning / data science best practices.
  • Demonstrated understanding of financial statement analysis and cost accounting principles.
  • Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale.
  • Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale
  • Knowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle)

Additional Knowledge & Skills
  • Strong verbal and written communication
  • Team player
  • Object-oriented programming experience in one of these languages is a plus: C#, Java, C++, VBA
  • Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks)
  • Knowledge of statistical programming and fundamental statistical concepts (SAS, R, MATLAB)
    • Object-oriented programming experience in one of these languages is a plus: C#, Java, C++, VBA
    • Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks)
  • Knowledge of / interest in foundational data science methods and models.
  • Analysis/Process Thinking.

At McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, please click here.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. 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
$101,300 - $168,900
McKesson is an Equal Opportunity/Affirmative Action employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to [email protected]. Resumes or CVs submitted to this email box will not be accepted.
Current employees must apply through the internal career site.
Join us at McKesson!