Data Scientist, Data Strategy

McKesson is an impact-driven, 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 well-being 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 tomorrow’s health today, we want to hear from you.

As a Data Scientist, Data Strategy, you will be pivotal in transforming data into actionable insights that drive business strategies and decision-making, making this a unique and exciting opportunity.

Key Responsibilities

• Data Collection and Analysis: Gather data from various sources, using statistical methods and visualization tools to identify trends and insights.
• Model Development: Develop predictive models using machine learning algorithms to solve business problems. Select appropriate modeling techniques based on data characteristics and business objectives.
• Strategy Support and Development: Help craft data-driven strategies that align with business objectives, providing insights to support strategic decision-making.
• Data Quality and Governance: Maintain data accuracy and reliability, working with governance teams to uphold high-quality standards and compliance.
• Stakeholder Collaboration: Lead conversations with cross-functional stakeholders to understand data needs, translate them into analytical solutions, and foster effective communication.
• Tool and Technology Utilization: Leverage advanced analytics tools for data analysis and visualization, stay updated on emerging technologies, and provide training to teams.
• Performance Measurement and Optimization: Develop and track KPIs, analyze performance data, and suggest improvements to enhance business outcomes.
• Research and Innovation: Explore new data sources and techniques, proposing innovative solutions to leverage data for competitive advantage.
• Legal and Compliance: Ensure adherence to data protection regulations, identifying risks, and suggesting mitigation strategies.
• Communication and Problem Solving: Translate complex findings into actionable insights for stakeholders, using strategic thinking to address business challenges and opportunities. Your ability to communicate effectively and solve complex problems will be highly valued in this role.
• This role requires a balance of strategic data oversight and technical proficiency to ensure data initiatives are aligned with business goals and are effectively executed across the organization.

Minimum Requirement

Degree or equivalent and typically requires 4+ years of relevant experience.

Education

Bachelor’s degree in a quantitative field like Statistics, Mathematics, Computer Science, Data Science, or Economics is preferred.

Critical Skills

• Must have 4+ years of work experience in data analysis, visualization, and/or supporting healthcare information systems.
• Proficiency in programming languages such as Python, R, or SQL for data analysis and modeling.
• Experience with business intelligence platforms like Power BI, Looker or ThoughtSpot
• Strong knowledge of advanced SQL and relational databases. e.g, Snowflake.
• Familiarity with Azure Cloud Architecture and Databricks Lakehouse architecture.
• Familiarity with machine learning frameworks and libraries, such as TensorFlow, scikit-learn, or Keras.
• Solid understanding of statistical and predictive modeling techniques.
• Experience in developing and validating predictive models.
• Ability to analyze complex datasets and derive actionable insights.
• Experience in applying advanced analytics in a business context to solve complex problems.
• Understanding of business operations and the ability to translate analytical findings into business strategies.
• Strong critical thinking and problem-solving abilities to tackle complex analytical challenges.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.
• A proactive approach to staying updated on the latest trends and advancements in data analytics and machine learning.

Physical Requirements

• General office demands 
• Must have the ability to travel up to 10% of the time 

Candidates must be authorized to work in the USA. Sponsorship is not available for this role.

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