Job Description:

Title: Associate Director, Data Science Agency: PHD at OmnicomMediaGroupLocation: CHI - 225 N Michigan Ave, 3x a week in officeAt PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands to connect better with the customers. They process and integrate big data in data clean rooms from media advertising platforms including the first party and the third-party data and support business insights and growth solutions. Our data scientists build advanced predictive models utilizing machine learning and advanced statistic. PHD data scientists leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, digital attribution, customer retention, customer behavior prediction, 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.Role Overview:We are currently seeking an Associate Director Senior Manager to join our Data Science team. This role will be an impactful individual contributor with the main responsibility of performing exploratory data analysis, predictive modeling, and data queries across a multitude of platforms. 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. Upon proven success as an individual contributor, this person will become a mentor to junior team members.Areas of Responsibility:Model and build Machine Learning, Statistical algorithms on top of our vast number of datasetsRun predictive modeling utilities to define and project (score) audiences for deployment, e.g., clustering, looka-like modelingAssist in designing tech infrastructure and data pipelines (ETL, data automation, data querying, etc.)Present complex reporting, models, and dashboards of technical work to both informed and uninformed audiencesMaintain a productive relationship with clients at the peer level or higher to ensure they are informed of any new activities or updates to existing projectsEvaluate model performancemodel separation to determine cut-off points and output resulting user pools for deployment (inout phase gains charts)Partner with client data science team to develop new methodologies and utilitiesBuild tools to process, visualize and analyze dataDeploy scalable solutions to our cloud-based infrastructureProduction of campaign reports and analyses according to measurement plans Reporting could be executed through media platform APIs or through big data clean rooms, e.g., Google Ads Data Hub, Facebook Advanced Analytics, Amazon Marketing Cloud.Support Digital Attribution and Advertising Lift models built in data clean roomsWork with big data and query through big data environments, e.g., data clean rooms or Omnicom 3P data partnershipsDevelop actionable insights around campaign results to support media investment teamsData Storytelling of results and analyses in presentation decksslidesConsolidation of learnings across similar campaignsIdentification of opportunities to automate anyall analyses and identify processes for efficienciesOn-going data QA to ensure data used for reporting and analysis is accurateRequirements:6-9 years of experience with predictive modeling, databases, computational simulation, clustering, machine learning, and remote computing in academia or industry4+ years of industry experience with Python, SQL, R, and other similar statistical computing environmentsVery strong written and verbal communication skills; thrive in a rapidly evolving environmentGraduate degree in statistics, mathematics, economics, engineering, information management, social sciences or businessmarketing related fieldsExperience working in high volume data bases, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, andor predictive modeling (New graduates will also be considered depending on their educational background and academic record)Strong command of statistical techniques and conceptsA strong desire to learn and passion for digital marketing, research and analyticsAbility to work well with others and work in cross functional teamsAbility to manage and prioritize a number of concurrent tasks in a fast-paced environmentAbility to clearly explain complex technical ideas to multiple audiences both verbally and in writingStrong attention to detailStrong written & oral communication skillsDesired Technical Skills: These technical skills are listed to give you a general idea about the tools and techniques we use. The tools and techniques you will be using in your specialization unit will be a subset of the below.Automation of data science workflows in cloud environments via APIsExperience optimizing processes on distributed architectures e.g., Redshift, Spark, BigQuery PHD is An Equal OpportunityAffirmative 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.