McKesson

McKesson

Data Scientist - Predictive Analytics

Columbus, Ohio, USA · Mid · full-time

No sponsorshipDetected 114 days ago
PythonSQLSnowflakeDatabricksAzureMachine LearningData ScienceData VisualizationNLPStatisticsForecastingCommunicationPublic SpeakingDemand Planning

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odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 6 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 81%

Of 21 labor certifications old enough to have been used, 4 expired without the employer filing the next step. Median time from filing to decision: 484 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 22 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • We are seeking a Data Scientist to support forecasting and demand planning initiatives, including volume and contact center forecasting.

Responsibilities

  • Through data, automation, and expert intervention, we support providers, pharmacies, payers, biopharma, and?most importantly?patients.
  • Role Overview We are seeking a Data Scientist to support forecasting and demand planning initiatives, including volume and contact center forecasting.
  • This role focuses on developing and enhancing statistical and predictive models to improve forecasting accuracy, workforce planning, and operational decision?making.
  • You will work closely with cross?functional partners in operations, workforce management, and analytics to translate complex data into clear, actionable insights that drive business outcomes.

Compensation

  • The pay range shown below is aligned with McKesson\'s pay philosophy, and pay will always be compliant with any applicable regulations.
  • In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.

Benefits

  • McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare.
  • Here, we focus on the health, happiness, and well-being of you and those we serve? we care.
  • 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.
  • 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.

Company info

  • We are known for delivering insights, products, and services that make quality care more accessible and affordable.
  • CoverMyMeds, part of McKesson, helps patients access the medications they need by solving complex medication access and affordability challenges.

Visa & Work Authorization

  • members Priority will be given to candidates who reside in the Columbus, OH metropolitan area We are unable to provide sponsorship for work authorization for this role, presently or in the future

This listing is sourced directly from McKesson's careers page and normalized into a canonical job model.