Staff Marketing Data Scientist — Direct Mail Analytics Lead

United States Digital Space LLC; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

United States Digital Space LLC is seeking a Staff Data Scientist to join the Marketing Data Science team. You will lead end-to-end Direct Mail campaigns across lending and banking products, translating business goals into data-driven tactics.

You will collaborate with marketing managers, channel owners, and partners, manage an offshore team, and measure ROI, exploring new data and models to drive growth in a fast-paced environment.

Qualifications

• Bachelor's degree in a quantitative field is required; Master's preferred.
• 8+ years of marketing analytics experience in financial services.
• Proficiency in SQL, Python, and Tableau.
• Experience building data pipelines with Airflow and Snowflake.
• Experience with experimentation and hypothesis testing.
• Knowledge of statistical modeling or machine learning is a plus.

Responsibilities

• Lead end-to-end Direct Mail campaigns across products, defining data sources and logic and validating results.
• Coordinate campaign schedules, track dependencies, and escalate issues as needed.
• Manage offshore team, provide guidance, and align onshore/offshore workflows.
• Partner with owners to optimize audiences, improve conversions, and maximize ROI.
• Support ad-hoc analytics requests and explore new data ideas to drive growth.
• Translate business objectives into data-driven tactics and present insights to senior management.

Skills

SQL

Python

Tableau

Education

Bachelor's degree in Computer Science, Math, Engineering, or quantitative field

Tools

Airflow

Snowflake

Job description

United States Digital Space LLC is seeking a Staff Data Scientist to join the Marketing Data Science team. You will lead end-to-end Direct Mail campaigns across lending and banking products, translating business goals into data-driven tactics.

You will collaborate with marketing managers, channel owners, and partners, manage an offshore team, and measure ROI, exploring new data and models to drive growth in a fast-paced environment.