Vice President, Director, Data Science

Plano, TX, United States

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Company Description

Digitas is the Networked Experience Agency, built on the vision that we create magnetic experiences that earn the right for brands to exist in human networks. Today, and tomorrow. We deliver Networked Experiences by leveraging comprehensive data, technology, creative, media and strategy capabilities. Digitas delivers ambitious outcomes via unique solutions that include Creative Experiences, Integrated Media, Addressable Relationships, Social Marketing and Total Commerce. Celebrated by Ad Age as Data and Insights Agency of the Year, U.S Campaign’s Brand Experience Agency of the Year, Media Network of the Year and celebrated by Forrester and Gartner, Digitas serves the world’s leading brands through a global network comprised of more than 5,500 employees across over 65 offices in 43 countries.

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.

Qualifications

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

 

Got what it takes? We’d love to hear from you.

Additional Information

Digitas is an equal opportunity employer.

“Compensation Range: $165,500 - $187,000 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. For this role, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off.” If your requirements fall outside of this range, you are still welcome to apply. The Company anticipates the application window for this job posting will end 10/31/24.

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Tags: Big Data Data Mining Data pipelines Distributed Systems Engineering Generative AI Machine Learning Open Source Pipelines Research Statistical modeling Statistics

Perks/benefits: Health care

Region: North America
Country: United States

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