Director, Data Science

New York City, United States

Publicis Groupe

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Company Description

Both Performance Collective and PHM sit under the Publicis Media pillar, which is a collective group of agencies that specifically focus on Media advertising under the Publicis Groupe network. Within this collection of agencies as well as the broader network, we are uniquely positioned to not only deliver innovation to our clients as we partner together but also deliver the best-in-class opportunities and benefits to our employees. We deliver the atmosphere of a startup company, with the stability of having a parenting company in Publicis Groupe. As you can see, we are growing; in the past year alone, we have hired 1/3 of our current workforce. Currently, we operate out of four locations across the US which are New York, Chicago, Detroit, Philadelphia, and Los Angeles. LifeSpeed in particular will be based out of our New York office. 

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 PHM. 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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Tags: Architecture Bayesian Big Data Data Analytics Data management Data Mining DataRobot Excel Mathematics ML models Predictive modeling Python R SAS SPSS SQL Stata Statistics Testing

Perks/benefits: Health care Startup environment

Region: North America
Country: United States
Job stats:  2  1  0
Category: Leadership Jobs

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