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Vice President, Director, Data Science

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Digitas

2024-10-03 03:41:31

Job location Plano, Texas, United States

Job type: fulltime

Job industry: Executive Positions

Job description

Job Description

What you'll do:

Our Data Scientists deliver analytic solutions across a wide variety of client applications. We build inferential and predictive models, including machine learning algorithms and AI; we process, integrate and manipulate big data with distributed systems and customer data pipelines; we synthesize results and translate findings into compelling stories that resonate with clients.

As a VP, Data Science, you'll define, lead and evangelize 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.

Job Responsibilities:

Leading cross-functional teams to define, implement and promote cutting-edge analytical and data engineering solutions with new and existing clients such as:End-to-end customer data integration, activation and enablement.

Rigorous statistical modeling and inferential analysis including overlap, attribution, holdout, halo, churn and seasonality modeling

Machine learning and AI development and applications.

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 identify 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.

Inform a friend!

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