Associate Director, Data Science

About this role

Job Description Who We Are Horizon Media , founded in 1989 by Bill Koenigsberg, is recognized as one of the most innovative marketing and advertising firms. We are headquartered in New York City, with offices in Los Angeles and Toronto. A leader in driving business solutions for marketers, Horizon is known for its highly personal approach to client service.  Renowned for its incredible culture, Horizon is consistently named to all the prestigious annual Best Places to Work lists published by Fortune, AdAge, Crain’s New York Business and Los Angeles Business Journal. Together we are building a place of belonging.

At Horizon, we understand the value that different perspectives can bring to our clients and culture, so we strive for an environment where our employees feel welcomed, safe and empowered. We value YOU and believe that your authentic voice and unique perspective allows us to create a more rewarding culture, and experience, together.

Our simple recipe for success? We hire talented people (thinkers, doers, dreamers, makers), challenge them and give them every opportunity to grow.

What Is blu. blu. is Horizon’s omni-marketing capability that is powered by a Connected Marketing Platform, built in-house from the ground up.  The foundation of this platform is an Identity Framework built upon our relationship with TransUnion, whose PII data acts as our identity spine. By integrating with agency partners who have deterministic data assets we have licensed and attached 11K+ attributes to bridge the gap between martech and adtech to deliver a true 360 consumer view.  This enables brands to engage customers and prospects across all journeys.  Our portfolio of solutions and products are designed to complement a clients’ existing tech.

Proprietary insights tools enhance profiles with psychographic attributes and custom models identify and assign propensity against audiences based on KPIs.  We have a central, connected, user-friendly platform for insight development, audience creation and activation.  Our Solutions & Services are built on top of the Connected Marketing Platform offering bespoke capabilities across business strategy, planning, activation, measurement and optimization.

Job Summary The Associate Director, Marketing Sciences is at the center of data, media and brand strategy.  They act as a day-to-day contributor on specific client teams and focus on the generation of insights to inform audience strategy for planning and analysis of performance and optimizations while campaigns are still inflight. Key responsibilities are working with big data (data extraction & transformation) as well the application of advanced statistics and machine learning techniques to accomplish a variety of innovative and investigative projects on behalf of Horizon agencies and their clients.  The role requires hands-on analytics expertise and client-facing solution design and will influence Horizon data strategy and product direction. 

This role often requires an ability to work cross-functionally with Client Architects and other teams key to data acquisition through client presentation, as a result, a collaborative spirit and strong communication skills are required.  They will be expected to become expert in data assets within Horizon’s proprietary Connected Marketing Platform called blu. and take ownership of specific data sources and client accounts.  This role will report to a Vice President, Marketing Science, blu.

Responsibilities  

15% Product Innovation & Management • Operate as a Product Innovator and become a Product expert and power user, to drive continuing improvement in both in the analysis and results being supported by AI and the continuing custom solutions built on top and around those • Experience with the ongoing operation and support of a Product in development and/or production • Ability to ensure design principles that scale and can be repeatable and/or extensible to other clients or industries • Experience with release management processes, including all levels of testing (Alph, Beta, QA, UAT) • Ability to define features, models, queries and requests and provide “proof of concept”s for Product enhancement and future incorporation into blu+ product

40% Solutions Design & Innovation • Ability to understand and leverage blu. structured and unstructured data • Data transformation/mining and generation of insights to explain audience performance and inform optimization • Data join process between blu audiences, media exposure and conversion events to build feedback loops • Analysis of audience conversion to KPIs • Model creation to estimate contribution of attributes driving conversion • Validation of models used during the Audience Building process • Assessment of audience duplication and incrementality by channel, partner, or tactic • User/log level data extraction from delivery sources to create new audiences based on exposure to manage frequency • Database(s) querying to extract exposure events and create a new audience based on exposure by paid media channel (digital or linear) • Problem solving and development for new modeling and analysis techniques • Increasingly utilize AI solutions to inform and expedite some or all of the required analysis

40% Technical & Analytical Excellence • Advanced knowledge of dimensions & metrics (people based, behavioral and media data) • Ability to understand and make sense of the relationships/connections across datasets • Knowledge of the data dictionaries and taxonomies of structured data sets • Experience in ML and different techniques of supervised and unsupervised learning ETL & EDA processes • Understanding of the complexity of working with Big Data

5% Leadership & Team Management • Act as a collaborative partner to the business and all stakeholders • Participate in daily standups and meet delivery commitments • Proactively identify and, when required, escalate issues and blockers striving to avoid business/client impact • Work wi

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