Director, Data Science

Company Description

Being a part of Publicis Media, our leadership is characterized by our vast experience, dedication, and continuity across our expansive network. Some of the industry's most seasoned experts lead our agencies and teams, every day committing to do their best for our personnel and clients, brought together by our inclusive and people-centred culture. No matter if we're bringing in new talent or launching new media campaigns for our clients, we always prioritize the individuality and humanity of real people. With our unrivaled history of continuous learning and innovation, we never cease in our march forward.

Publicis Media is North America's leading media network, consisting of a family of top-tier media agencies, solutions, and talent. Together we are more than 23,000 people in over 60 countries, all working in unity to serve some of the world's most renowned and successful brands.

About The Publicis Data Engine:

Publicis CoLab is a fully integrated, cross-discipline, "power of one" solution that provides top-of-the-line media and marketing services to our client, Pfizer. Leveraging the Data Engine, we create brand movements in sync with the pace of people's daily lives, combining real-time data with world-class creativity, content, and media to drive growth and ROI. We take pride in combining the vibrant environment of a startup with the stability and experience of a global leader.

Job Description

Oversees all stages of data analytics, including 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 as identified by PHM. Has an aptitude for pinpointing statistically significant causal relationships, is comfortable working with large data, and finds consumer behavior intriguing.

Key Responsibilities:

• In collaboration with the GVP Tech and Data, design and maintain the data management and analytics environment to enable industry-leading analytic solutions

• Supervises data scientists and statisticians within the department

• Identifies and develops solutions to be added to PHM's advanced analytics portfolio

• Provides advanced analytic support and shares best practices in statistical rigor with department analysts

• Determines 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, interacts with various departments including both internal and external customers

• Examines large datasets to extract actionable insights and inform experimental design and model development

• Mentors and provides training to junior team members

• Translates business queries and applies statistical models and analyses to answer them in an actionable and reproducible manner

• Facilitates the automation of recurring reports and monitoring systems for models

Qualifications

• A bachelor's degree in statistics, mathematics, or equivalent is required, a master’s degree is preferred

• A minimum of 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 demonstrated ability to manage multiple projects and excel in a fast-paced, results-driven 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

• Master comprehension 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 knowledge of data hygiene & architecture, with the 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 in accordance with EEO guidelines.

Annual compensation range: $130,000 - $204,500. This is the pay range that the Company believes it will pay for this position at the time of this posting. As per applicable law, compensation will be determined based on the skills, qualifications, and experience of the candidate paralleled 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.