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Data Scientist

1 month ago

Alpharetta, United States McKesson Full time
Job Title:

Sr. Data Scientist

Job Description:

The Sr. Data Scientist will be an integral part of McKesson's Generics Analytics team, responsible for developing and implementing data-driven strategies to enhance pricing decisions. This role will work in a collaborative environment, leveraging in-house data sources to uncover insights and optimize processes.

This position will collaborate across teams to build and deliver data, analytics, and digital organizational capabilities related to pricing transformation. The ideal candidate will be an expert in analytics and AI/ML-based pricing of pharmaceutical products, with a deep understanding of healthcare distribution and supply chain.

Key Responsibilities:

  • Lead development of analytical and data science solutions for Generics business stakeholders
  • Utilize advanced analytics, machine learning, and predictive modeling to identify opportunities for price optimization and margin improvement
  • Collaborate with business stakeholders and technology teams to identify areas that can benefit from advanced analytics and data science
  • Communicate strategy and results to technical and non-technical audiences, developing strong relationships with key stakeholders
  • Streamline AI/ML delivery process, experimenting and implementing Agile solutions to scale valuable business outcomes
  • Build AI engineering frameworks, ML systems, data pipelines, and security with enterprise value priorities
  • Have a good understanding and appreciation for data governance and AI governance principles, coaching teams to adopt guidelines
  • Lead building of comprehensive analytical insights engine, optimizing pricing outputs across multiple algorithms and scenarios
  • Drive key AI and analytical initiatives, providing clear timelines and actionable plans for implementation and value generation
  • Lead, motivate, and inspire teams to embrace AIML technologies, contributing to the organization's overall success
  • Leverage CICD best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and ML follows best practices in Responsible and Explainable AI
  • Continuously monitor and optimize AI models and algorithms to improve performance and reliability
  • Monitor real-time performance of deployed models, analyze performance data, and proactively identify and address performance issues
  • Troubleshoot and resolve production issues related to ML model deployment, performance, and scalability
  • Implement security best practices for machine learning systems and ensure compliance with data protection and privacy regulations
  • Develop and maintain documentation, standard operating procedures, and guidelines related to MLOps processes, tools, and best practices
  • Support stakeholders' analytic needs, gather user requirements, and help drive adoption
  • Manage business stakeholder relationships to drive action and value from data science insights
  • Assist in developing and maintaining long-term stakeholder relationships and networks

Critical / Must have skills:

  • 8+ years of data science and advanced analytics experience
  • 4+ years of healthcare / pharmaceutical / distribution experience
  • 2+ years of pricing analytics and data science modeling experience
  • Proven record of building data and analytics models and solutions in the pricing space, preferably in the healthcare, pharmaceutical, and/or supply chain domain
  • Previous experience in managing complex analytical and data science projects to deliver business outcomes
  • Demonstrated ability to tackle problems across the full data stack, from data wrangling to stakeholder consumption at scale
  • 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 experience data visualization skills (PowerBI, Tableau, RShiny)
  • Experience in developing cloud computing data and analytic platforms (Snowflake, Databricks, Azure, AWS, GCP etc)
  • Deep knowledge of advanced analytics and big data technologies and methodologies, as well as proven experience translating big data into actionable outcomes in healthcare / pharmaceutical / biotech industries
  • Proven track record of solving complex problems, thinking creatively, and using data to tell a story to influence senior level stakeholders
  • Outstanding verbal and written communication with all levels of management, ability to translate technical terms into business insights
  • Ability to work in a matrix environment and build partnership with both internal and external stakeholders
  • Very strong team player
  • Strong verbal and written communication
  • Bachelor's degree in Data Science, Statistics, Computer Science, applied mathematics, machine learning, or a related data centric-technical field. Master's degree preferred.

Relocation is not budgeted for this role

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 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. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$130,400 - $217,400


Mckesson 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.