Senior Data Scientist, Audience Analytics for Healthy Communities

Responsibilities:

• Data engineering using Python and R for ETL/ELT pipelines with medallion architecture.
• Build data visualizations using Tableau and PowerBI.
• Conduct data analysis including descriptive reporting, causal inference, and predictive modeling.

Qualifications:

• At least 5 years experience in data science, segmentation, or communications planning.
• Master's degree in social science, data science, public health, statistics, or marketing.
• Proficiency in Python, R, SQL, and cloud computing (AWS).

We Offer:

• Top-tier health, dental, and vision coverage at 100% for employee.
• Generous retirement contributions with no vesting period.
• Dedicated training and development budgets.