Analyst, Data Science
New York City, United States
Applications have closed
Publicis Groupe
Company Description
At Publicis LifeSpeed, it is both our model and culture to establish fully integrated cross-discipline teams that put our clients wholly at the center and enable us to provide best-in-class services in a fluid and modular way. Publicis LifeSpeed uses living data to create brand movements at the speed of people’s lives. We move faster, create movements, and deploy real time data that connects world class creative to content and media in service of growth and ROI.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.
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 PHM’s 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
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $52,500 - $80,000 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.
Tags: AWS Azure Bayesian Big Data Classification Cluster analysis Data Analytics Data management Data Mining DataRobot GCP Google Cloud Machine Learning Mathematics ML models Python R SQL Statistics
Perks/benefits: Career development Health care
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