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.
Over the last three years we have been building from the ground up a Connected Marketing Platform, blu. 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 10,000+ 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 to audience development and activation.
Job Summary
The Associate Director, Marketing Sciences, is at the center of data, media and brand strategy and acts as a day-to-day contributor on specific client teams focusing on the generation of insights to inform audience strategy for planning and analysis of performance to inform optimizations while campaigns are still inflight. The Associate Director, Marketing Sciences partners directly with the Data Solutions team assigned on each account and is an expert in all the data assets within Horizon’s proprietary Connected Marketing Platform called blu. Key responsibilities are working with big data (data extraction & transformation) as well the application of advanced statistics and machine learning techniques. This role will be embedded within the Business Solutions team, assigned to a specific pod of accounts, and directly reports to the SVP, Marketing Sciences, blu.
Responsibilities

10% Understanding and usage of blu. structured and unstructured data

• Basic / Advanced 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

30% Generations Insights using Advanced Statics Techniques & Custom Audience Building

• ETL & EDA processes
• Descriptive & Exploratory Statistics to help us understand audience/target consumers.
• ML Modeling to predict business outcomes
• “Off the shelf” and Custom Audience creation using atom level data
• Database(s) querying
• Writing scripts for insight generation automation
• Refinements of propensity and look alike techniques

60% Optimization

• ETL & EDA processes
• 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)

Qualifications

• 3+ years relevant experience
• Working knowledge of Big and basic data mining routines.
• Expert knowledge of SQL/Python /R a must.
• BS/BA degree required.
• Advanced Statistics a plus
• Knowledge of GitHub a plus.
• Machine Learning experience a plus.
• Solid understanding of data technology integrations across data sources and ecosystems, and troubleshoot.
• Experience working with digital analytics and audience insights reporting (Campaign Manager/ GA/ Adobe/GA360) - a plus.
• Ability to work in a fast paced, multiple project environment on an independent basis and with minimal supervision.
• A team player who can work collaboratively within the group and across business units/functions.
• Excellent organizational, communication and interpersonal skills.

LI-KG1

Please refer the Job description for details