Job Description

Job Description

Supports 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 Publicis Collective. Enjoys identifying statistically significant causal relationships, is comfortable working with big data, and is fascinated by consumer behavior.

Key Responsibilities:

• In partnership with the Data Science Director, design and maintain the data management and analytics environment to enable industry-leading analytic solutions.
• Apply data mining techniques, statistical analysis, and building high quality prediction models using languages such as Python, R, and SQL.
• Identifies solutions to add to Publicis Collective’s advanced analytics portfolio.
• Provides advanced analytic support for and share statistical rigor best practices with department analysts.
• Identifies optimal statistical methods and test designs for specific analytic needs.

Qualifications

• 2-4 years of professional hands-on experience with predictive modeling, measurement, and advanced analytics (including segmentation techniques) using large datasets.
• Proven knowledge and experience developing data & analytic solutions with statistical software such as Python or R – required.
• Proven knowledge and experience performing efficient and effective queries utilizing SQL – required.
• Understanding of data visualization best practices, preferably using BI tools such as Tableau.
• Experience operating within agile methods & frameworks desired.
• Ability to develop practical solutions and applications of advanced analytics/supervised & unsupervised learning techniques such as Regression, Clustering, Decision Trees, Neural Networks, XGBoost, NLP, etc.
• Experience with data infrastructures required for optimal extraction, transformation, and loading of data from a wide variety of sources using SQL and AWS technologies.
• Demonstrate the ability to work within ambiguity & evolving business needs.
• Understanding of data privacy best practices/HIPAA compliance and security of data in use.
• BS in Mathematics, Statistics, Computer Science, Engineering, Data Science, Analytics, or related field or advanced Degree (MS/MBA/PhD) preferred.

Additional Information

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

#23-10575