Havas Edge

Data Science Manager

US-CA-Carlsbad
5 days ago
ID
2017-1280
# of Openings
1
Category
Analytics

Overview

Build the Business. Build the Brand.

At Havas Edge we influence people to act by combining multi-channel marketing and commerce plus the creative and technology that powers them.  Our work results in profitable growth and lasting relationships between customers and our client’s brands.

 

SUMMARY:

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 Havas Edge. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior.

Responsibilities

  • In partnership with the VP Analytics & Modeling, design and maintain the data management and analytics environment to enable industry-leading analytic solutions
  • Supervises department statistician (s)
  • In collaboration with the VP Analytics & Modeling, identifies and develops solutions to add to Havas Edge’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
  • Demonstrated ability to quickly understand complex consumer behavior and businesses concepts, including financial, operational, and strategic aspects
  • 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 small team of direct reports, with guidance from the VP Analytics & Modeling
  • 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 knowledge of relational database concepts with ability to perform complex queries in a SQL Server environment
  • Expert knowledge of Bayesian logic and its application in predictive modeling

Qualifications

  • Bachelor's degree in statistics, mathematics, or equivalent required, with Master’s degree preferred
  • 5-10 years of experience in statistical analysis or data mining environments such as R, Python, or equivalent
  • At least three years of supervisory experience
  • Expert proficiency in statistical analysis software applications such as SAS, Stata, SPSS, 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

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