Senior Data Science Leader

1 week ago

Plano, Texas, United States Publicis Groupe Full time
Job Summary

As a Senior Data Science Leader at Digitas, you will be responsible for defining, leading, and evangelizing groundbreaking analytics solutions leveraging the suite of agency Data Science offerings. You will proactively bring to the discussion new thought leadership ideas that leverage the full scale of our intelligence and propel our clients' business forward.

Key Responsibilities:

  • Leading cross-functional teams to define, implement, and promote cutting-edge analytical and data engineering solutions with new and existing clients.
  • Providing strategic vision and alignment for client engagements.
  • Synthesizing complex, technical concepts and outputs into compelling story lines that resonate with a variety of technical and non-technical audiences.
  • Engaging with colleagues across the agency to identify new and improved pathways for data-powered solutions.
  • Providing expertise in fundamental skill areas such as statistical methods, machine learning, AI, distributed computing, and programming with open-source languages.
  • Continuously identifying new ways of working that help drive efficiency across the whole team including generative AI integrations and data automation initiatives.
  • Proactively delivering thought leadership and innovation in process, technique, and implementation that keeps an eye on the market and new ideas that are discussed across the agency.
  • Sharing knowledge, debating techniques, and conducting research to advance the collective knowledge and skills of our Data Science practice.

Requirements:

We're looking for rigorous analytic breadth and depth and 10+ years professional experience in a data science or analytics role, which typically includes:

  • Extensive experience leading and executing projects that span data engineering, data mining, data modeling, and business strategy.
  • Robust, fundamental expertise in areas of statistical methods, distributed computing, machine learning, AI, and/or a variety of open source programming languages.
  • Experience integrating a variety of data sources, methods, and applications to achieve specific objectives.
  • Proven track record of technical and analytical innovation that delivers measurable business impact.
  • Proven track record leading and scaling teams of data scientists.
  • Flexibility to operate across technologies, industries, or level of scale and complexity.
  • Demonstrated ability to flex seamlessly from highly technical, analytical discussions to higher level, strategic conversations.

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