Requirements:
- 5+ years of experience as a Data Scientist
- Extensive modeling experience in Python / R
- Extensive experience in marketing analytics and building Marketing Mix Models (MMM)
- Experience working for a global company
- Strong experience with SQL, Power BI, Databricks, Azure
Plusses:
- Experience working in a retail environment
- Bachelor's or Master's degree
Overview:
Our client is looking for a Data Scientist to join their team in Charlotte, NC. As the Data Scientist, you will collect and integrate data from external vendors, internal partners, and campaign platforms to build a unified view of marketing performance. You will collaborate with North America Marketing teams provide marketing analytics and marketing mix modeling on the effectiveness of different campaigns and media channels (ex: TV, radio, print, digital media, etc.)
Responsibilities:
- Perform Exploratory Data Analysis (EDA) on any dataset and perform descriptive analytics.
- Develop and maintain Marketing Mix Models to measure effectiveness of TV, radio, digital, out-of-home, print, and in-store promotions.
- Conduct channel effectiveness analysis to identify which marketing channels drive the highest impact.
- Develop and maintain predictive models to analyze; Budget allocation across channels / Conversion rates and ROI / Revenue and traffic lift by campaign type and business unit
- Design and train end-to-end ML pipelines and select appropriate models for problem type and constraints.
- Perform data cleaning, transformation, and exploratory analysis using tools like Databricks, PySpark, and SQL.
- Store and manage campaign datasets in Delta Lakes for easy access and long-term analysis.
- Create and deliver Power BI dashboards to visualize campaign performance, KPIs, and insights for leadership and stakeholders.
- Partner with marketing teams to share insights, recommend optimizations, and support strategic decision-making.
- Develop communication mediums (dashboards, reports, presentations) to translate complex analytics into actionable business insights.
Compensation:
$65/hr to $70/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
