Senior Analyst, 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) for client projects. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior 

Key Responsibilities: 

• Identifies and develops solutions to add to Publicis' advanced analytics portfolio 
• Analyzes large datasets to extract actionable insights and inform experimental design and model development 
• 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 
• 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 
• Mentors and helps train junior level team members 

Qualifications

• Bachelor's degree in statistics, mathematics, or equivalent required, with master’s degree preferred 
• At least 3 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent 
• Advanced proficiency in AI powered tools such as Datarobot or equivalent 
• Advanced proficiency in multivariate analytics, econometric modeling, Bayesian probability, and analysis of variance, with advanced knowledge of data management concepts and SQL preferred 
• Experience building production-grade statistical or matrix-based models  
• Demonstrates proficiency in time series ensemble modeling, multivariate regression and classification, survival analysis, cluster analysis, design of experiments, and machine learning algorithms learning algorithms 
• Familiarity with cloud technologies such as AWS, Google Cloud Platform, or Microsoft Azure 
• Excellent written and verbal communication skills 

Additional Information

Compensation Range:  $80,000 - $95,000 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.

All your information will be kept confidential according to EEO guidelines.