Associate Director, Data Science - Insagic

INSAGIC, a Publicis Health company, is a next-generation insights and advisory business that combines data, design, and dialogues to deliver the activatable insights and transformational intelligence that healthcare marketers need to succeed and grow in today’s platform world. INSAGIC is home to more than 50 innovative behavior scientists, data scientists, ethnographers, linguists, strategists, researchers, and designers—all united around the vision of creating a world where connected health intelligence thrives.

The Associate Director of Data Science 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 INSAGIC. 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 INSAGIC’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 Data robot 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

Compensation Range:  $106,500 - $179,000 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.  The Company anticipates the application deadline for this job posting will be 07/26/2024.

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