Sr Data Scientist - Pricing
Sr Data Scientist - Pricing
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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 analytic solutions across McKesson.
Our team applies data science methodologies to interdisciplinary business problems across Finance Operations Accounting & Supply Chain. This position will work closely with multiple business units such as Treasury FP&A Operations and Pricing. The positions objectives are:
Develop machine learning solutions to support new business initiatives / facilitate next best actions
Architect and lead implementation of driverless forecasting systems levering best data science practices and technologies
Lead DevOps of new and existing models leveraging cloud / opensource
technologies
The candidate should possess the ability to perform statistical modelling techniques and derive business insights that are required to drive analytic innovation at McKesson. 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
Create and implement predictive models to analyze pricing data and forecast trends.
Utilize machine learning algorithms to optimize pricing structures.
Lead in development of statistical simulation decision frameworks.
Build time series models leveraging techniques such as Sarima Prophet Holt
Winters Transformers.
Design and guide implementation of model variance analysis and impact tracking framework
Lead in deploying statistical models in production
Lead in development of statistical simulation decision frameworks
Other Responsibilities
Support stakeholders analytic needs gather user requirements help drive adoption
Cultivate business development opportunities
Assist in developing and maintaining longterm stakeholder relationships and
networks
Minimum Requirements
Experience: 5 years data science / analytics / programming experience based on
combination of industry and academic experience
Education: 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.
Critical Skills
Demonstrated ability to tackle problems across the full data stack from data
wrangling (leveraging SQL or other methodologies) to stakeholder consumption at
scale
Deep knowledge of machine learning / data science best practices
Knowledge of statistical programming (Python R)
Ability to communicate technical concepts to nontechnical audiences
Demonstrated experience with objected oriented programming (Python Java C# VBA etc.
Strong grasp of fundamental statistical concepts: linear regression A/B testing outlier analysis probability distributions tests for independence etc.
Additional Knowledge & Skills
Analysis/Process Thinking
Team player
Strong verbal and written communication
Knowledge of relational databases (e.g. MS SQL Server Snowflake Oracle)
Knowledge of cloud computing platforms is a plus (e.g. Azure AWS Google Cloud
Databricks)
Proficient with Excel spreadsheets financial modelling and reporting
Prior data mining experience using enterprise systems (SAP or JD Edwards
preferred)
Knowledge of data warehousing & ETL best practices is a plus
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
$124200 $207000McKesson 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!
Required Experience:
Senior IC
Employment Type
Full-Time
