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Form of workJob Description
As part of Publicis Media, our leadership is defined by experience, commitment, and continuity across our vast network. Helming our agencies and teams are some of the most seasoned experts in the industry, committed to doing the best for our people and our clients every day, and bound together by our inclusive and humane culture. No matter whether we’re recruiting new talent or devising new media campaigns for our clients, we put the humanity and identity of real people at the forefront of everything we do. And our peerless history of continuous learning and innovation means we never stand pat.
Publicis Media is the #1 media network in North America, made of a family of world-class media agencies, solutions, and talent. Together, we comprise more than 23,000 people in more than 60 countries, united to serve the world’s best-known and most successful brands.
About The Publicis Data Engine:
Publicis CoLab is a fully integrated, cross-discipline, “power of one” solution that provides best-in-class media and marketing services to our client, Pfizer. Through the Data Engine, we create brand movements at the speed of people’s lives by connecting real-time data with world-class creative, content, and media in service of growth and ROI. We pride ourselves on combining the energetic atmosphere of a startup company with the stability and experience of a global leader.
Job DescriptionManages all phases of data analytics, (data extraction, analysis, manipulation, synthesis & interpretation, and summary) along with the development, validation, testing, and maintenance of analytic tools, models, and algorithms for client projects and operational initiatives identified by CoLab. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior
Key Responsibilities:
In partnership with the GVP Tech and Data, design and maintain the data management and analytics environment to enable industry-leading analytic solutions
Supervises department data scientists/statisticians
Identifies and develops solutions to add to PHM's advanced analytics portfolio
Provides advanced analytic support for and shares statistical rigor best practices with department analysts
Identifies optimal statistical methods and test designs for specific analytic needs
Participates in the development, validation and delivery of algorithms, statistical models and reporting tools
Works in a team environment, interacting with multiple departments including internal and external customers
Analyzes large datasets to extract actionable insights and inform experimental design and model development
Mentors and helps train junior level team members
Translates business questions and apply statistical models and analyses to answer questions in an actionable and reproducible manner
Drives automation of reoccurring reports and model monitoring systems
Bachelor's degree in statistics, mathematics, or equivalent required, with master's degree preferred
At least 10 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent
At least 5 years of supervisory experience
Expert proficiency in statistical analysis software applications such as SAS, Stata, SPSS, or equivalent
Expert proficiency in AI powered tools such as Datarobot or equivalent
Expert proficiency in multivariate analytics, econometric modeling, Bayesian probability, and analysis of variance, with advanced knowledge of data management concepts and SQL preferred
Strong project management and prioritization skills with a demonstrated ability to execute against multiple projects and excel in a fast-paced, results-oriented work environment
Strong communication and interpersonal skills; ability to work in team environment; experience in communicating with client stakeholders and senior leadership on complex topics
Ability to work independently and manage a team of direct reports, with guidance from the GVP
Mastery of best practices regarding sampling, multivariate methods, and tests of statistical significance
Expert ability to identify appropriate statistical procedures to address specific business or data insight challenges
Advanced data hygiene & architecture knowledge with ability to perform complex queries in a SQL Server environment
Expert knowledge of deterministic and stochastic modeling concepts and their applications in predictive modeling
Additional Information
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $130,000 - $204,500 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.
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