Director, Data Science

Company 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 Description

Manages 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

Qualifications

• 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