Data Scientist
Data Scientist
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Job Description
McKesson is an impactdriven 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 wellbeing 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 tomorrows health today we want to hear from you.
The Data Scientist role will support the development of advanced analytic solutions across McKesson. Our team applies data science methodologies to interdisciplinary business problems across Finance Operations Accounting & Supply Chain. The positions objectives are:
- Develop machine learning solutions to support new business initiatives across the different business units. Types of projects would be supporting driverless forecasting systems supply chain optimization and building machine learning models.
- Collaborate with crossfunctional teams including other data scientists engineers and product managers to deliver endtoend machine learning solutions.
Analytic Responsibilities
- Perform advanced analytics functions (e.g. XGBoost SVM Random Forest Cluster Analysis etc. to create insights that in turn provide meaningful results.
- Design and implement algorithms for object detection recognition and tracking natural language processing (NLP) text generation and language translation.
- Leverage techniques like Retrieval Augmented Generation (RAG) to align LLMs to specific use cases.
- Develop inventory optimization / multiechelon simulation framework for supply chain. That includes building time series models leveraging techniques such as Sarima Prophet HoltWinters Transformers.
- Extract analyze and interpret large volumes of structured and unstructured data from various sources.
- Design and execute experiments to test hypotheses and validate models.
- Collaborate with Engineering team to automate machine learning models by developing comprehensive documentation (e.g. coding workbooks etc..
- Build prototypes for fast delivery to understand different business solutions.
- Work within an agile framework
- Develop an A/B testing framework by conducting hypothesisdriven tests to enhance products and services.
- Familiarity with data engineering concepts such as data ingestion ETL (Extract Transform Load) and data modeling to ensure efficient data pipelines in Databricks.
- Proficiency in Databricks including experience with Databricks notebooks clusters and job scheduling as a plus
Other Responsibilities
- Present findings and insights to nontechnical stakeholders in a clear and concise manner.
- Cultivate business development opportunities.
- Assist in developing and maintaining longterm stakeholder relationships and networks.
Minimum Job Qualifications
- Degree or equivalent and typically requires 4 years of relevant experience. Bachelors degree in a technical field such as: Computer Science Statistics Applied Mathematics Finance Economics or related quantitative / STEM majors. Masters and/or PhD preferred.
- 3 years data science / analytics / programming experience based on combination of industry and academic experience preferred
- 3 years of experience in any of the following: Azure Snowflake Databricks Python
- Strong SQL skills
- Proven experience with MLOps processes
- Demonstrated ability to tackle problems across the full data stack from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale.
- Hands on experience in statistical methods and machine learning with special emphasis on SVM gradient boosting kmeans reinforcement learning and multivariate testing.
- Strong grasp of fundamental statistical concepts: linear regression A/B testing outlier analysis probability distributions tests for independence etc.
- Clean transform and preprocess largescale datasets in the Cloud.
- Ability to communicate technical concepts to nontechnical audiences.
- Creative thinker and problem solver ability to design new ideas and message concepts that meet business objectives.
- Ability to work both independently and collaboratively in a fastpaced environment.
Working Conditions:
Environment (Office warehouse etc.
- Traditional office environment.
Physical Requirements (Lifting standing etc.
- Large percent of time performing computer based work is required.
Travel (Team meetings conferences site visits etc)
- Up to 20
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. The pay range shown below is aligned with McKessons 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 longterm incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.
Our Base Pay Range for this position
$104600 $174400McKesson 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 McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.
Join us at McKesson!
Employment Type
Full-Time
