Principal Data Scientist - Pharma Media

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Requirements:

• Master’s degree in data science, Statistics, Mathematics, Computer Science, or related field (PhD preferred)
• 5+ years of analytics experience
• Minimum of 4 years’ hands-on experience in machine learning and relational databases.
• Proficient in data manipulation using SQL, Python, and/or similar programming languages.
• Solid understanding of media metrics, digital/social analytics, ad technology, and TV ratings.
• Strong project-management skills managing cross-functional workflows.
• Proven ability to build and maintain client relationships.

Responsibilities:

• Mentor data scientists, fostering collaboration and professional growth.
• Develop and execute a data-science strategy aligned with company objectives.
• Design, implement, and optimize predictive models and machine-learning algorithms.
• Partner with software engineers, product managers, and business units to deliver client-facing solutions.
• Leverage SQL, Python, and R-Shiny to extract insights from large numeric and textual datasets.
• Manage model lifecycle: design, training, evaluation, validation, and deployment.
• Translate complex analytical results into clear business recommendations and compelling visualizations.
• Define and track key performance indicators (KPIs), ensuring data accuracy, integrity, and security.
• Analyze digital trends, user behavior, and product performance.
• Oversee digital data infrastructure in Snowflake to maintain data health and quality along with Data Engineering team.
• Create and maintain technical documentation (system flows, data flows, architecture diagrams) in GitHub repository.
• Support measurement strategies, including learning agendas, test plans, and frameworks.
• Collaborate regularly with stakeholders to address digital data needs and challenges.
• Educate research and business teams on data-best practices and infrastructure.