Data Scientist, Marketing

Job Summary

The Marketing Data Scientist / Advanced Analyst is responsible for building & developing the necessary skill sets in statistical modeling and advanced analytics techniques to generate predictive & machine learning models for the Marketing department and further a deeper understanding of our customers.

This role will own the translation of predictive modeling results to actionable insights that can be utilized across the TSC organization.

In addition, this position will aid the Customer Analytics Team with data analysis requests as needed by the business.

Essential Duties and Responsibilities (Min 5%)

• Work with key business partners to fully explore and frame a business question including objectives, goals, KPIs, decisions the analysis will support and required timing for deliverables.
• Conduct hands-on analysis of customer and campaign data using analytical and statistical tools such as SQL, Python, or Databricks to uncover insights and provide program recommendations.
• Work with both unstructured and structured data, creating new datasets to be used for model development or other analyses.
• Use SQL to develop queries from scratch including selecting from existing tables, creating new tables, and removing unwanted data.
• Develop, maintain, and improve predictive models using Python, PySpark or Databricks to enhance business knowledge of customer marketing interactions and shopping behaviors.
• Develop segmentation analytics such as clusters or decision trees
• Provide marketing team with design of experiments (DOE) recommendations and expertise to develop testing parameters for A / B Testing.
• Provide marketing team with measurement to targeted campaigns.

Required Qualifications

Experience : 3-5 years of predictive modeling experience utilizing CRM or high level transaction information. Understanding of Retail, CPG, or Marketing Agency business needs

Education : Bachelor’s Degree in Mathematics, Statistics, or Econometrics. Master’s Degree prefered.

Preferred knowledge, skills or abilities

• Experience with and at least moderate aptitude in programming languages such as SQL, Python, PySpark
• Knowledge of A / B testing methods; capable of designing a controlled test design, running the test and providing measurement post-hoc
• Ability to frame business questions and create an analytics solution using statistical or other advanced analytics methodologies
• Experience with marketing analytic concepts such as customer lifetime value, market basket analysis, customer profile creation a plus
• Experience using Azure, AWS, or another cloud compute platform a plus
• Experience with marketing loyalty programs, email, direct mail, and digital marketing a plus
• Familiarity with visualization tools such as PowerBI a plus
• Must possess high degree of aptitude in communicating both verbally and written complex analysis results to Senior & Executive Leadership
• Speak, read and write effectively in the English language

LI-DNI

Working Conditions

Normal office working conditions

Physical Requirements

• Lifting up to 20 pounds
• Sitting
• Standing (not walking)
• Walking
• Kneeling / Stooping / Bending
• Reaching overhead

Disclaimer

This job description represents an overview of the responsibilities for the above referenced position. It is not intended to represent a comprehensive list of responsibilities.

A team member should perform all duties as assigned by his / her supervisor.