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    Manager, Data Science - Chicago, United States - PHD

    PHD
    PHD Chicago, United States

    6 days ago

    Default job background
    Marketing / Advertising / Public Relations
    Description

    Title: Manager, Data Science

    As a leading global media network, Omnicom Media Group (OMG) sets itself apart with an agile, client-first approach that helps businesses thrive today and into the future. With more than 21,000 employees globally, OMG has the talent, expertise and clout to deliver unprecedented levels of innovation for our clients. The group is comprised of some of the world's most awarded agencies. From leadership to entry-level talent, we are a diverse mix of ages, genders, ethnicities, skill sets and backgrounds.

    Role Overview:

    • This role will be an impactful individual contributor, and will interface frequently with media strategy, investment, and client marketing teams to scope out solutions to novel marketing problems.
    • Our data scientists build predictive models utilizing machine learning and advanced statistics. OMD data scientists leverage data to address challenges in media optimization, audience creation, segmentation, audience journey, digital attribution, and cross channel customer experience.
    • As a data scientist, you will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insights across multiple industry-leading clients in a dynamic environment.

    Areas of Responsibility:

    Marketing Mix Model Integration to Strategic and Tactical Media Planning:

    • Work with third-party vendor Data Scientists and clients to estimate media spend to sales response relationships.
    • Leverage PHD in-house optimization toolsets to provide optimal marketing spend and media channel budget spend allocations to maximize media return over investment.

    Media Target Audience Design:

    • Support media target audience expansion to meet brand sales and other KPI goals.
    • Identify revenue opportunities in new audiences utilizing in-house data sets that span transaction, behavioral, and other rich attributes at the individual level for US market.
    • Segment audiences using internal and client first party data sets through unsupervised learning.
    • Run predictive modeling utilities to define audiences for deployment, e.g., look-a-like modeling.

    Media Activation Analytics:

    • Analyze media ad-server, and Demand Side Platforms, and media partner data in data clean rooms to make recommendations on media funnel optimization.
    • custom bidding algorithms for media clients.

    Custom Modeling:

    • Build predictive algorithms on top of our vast number of datasets via Statistical Modeling, Machine Learning, e.g., Linear Regression, Logistic Regression, and Bayesian Hierarchical Models

    Media Measurement and Learning Agenda:

    • Contribute to media measurement and test & learn implementation with third-party vendors and internal stakeholders.
    • Develop actionable insights around campaign results to support media investment teams.

    Cross-Functional Teamwork:

    • Partner with internal PHD Media Communications, Media Strategy, Digital and Video Investment to drive client brand growth in sales.
    • Interface with third-party vendors to source requisite data for media measurement initiatives

    Client Management and Presentation:

    • Maintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projects.
    • Storytelling of results and analyses in presentation decks/slides

    Requirements:

    • Graduate degree in statistics, mathematics, economics, engineering, information management, social sciences, or business/marketing related fields
    • 3-5 years of experience with predictive modeling, databases, computational simulation, clustering, machine learning in academia or industry (New graduates will also be considered depending on their educational background and academic record)
    • 1+ years of industry experience with Python, SQL, R, and other similar statistical computing environments
    • Experience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling Strong command of statistical techniques and concepts
    • Desire to learn and passion for digital marketing, research and analytics
    • Ability to manage and prioritize concurrent tasks in a fast-paced environment
    • Comfortable in explaining complex technical ideas to multiple audiences both verbally and in writing
    • Strong written and verbal communication skills
    • Attention to detail to deliver consistent and high-quality insights

    PHD is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class.

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