Sr. Data Scientist, Marketing

MoneyGram•Dallas, TX

14h•$145,000 - $200,000•Remote

About The Position

At MoneyGram, we're combining the strength of a trusted global brand with the agility of a tech-forward, growth driven culture. With 80+ years of experience and a presence in more than 200 countries and territories, we've built a foundation of stability and trust to help millions of people around the world send funds quickly, securely, and affordably. We're looking for bold thinkers, builders, technologists, and sellers who want real ownership of their work, thrive in collaborative environments, and are energized by solving complex challenges. Here, you'll have the opportunity to make a measurable impact - fast. If you're eager to shape the future of cross-border payments and financial services, join us as we transform how the world moves money. About the Role As part of this transformation, we’re building a best-in-class performance marketing engine—and we’re hiring a Sr. Data Scientist, Marketing to help us push it to the next level. You will sit at the intersection of marketing and data science, developing statistical models, designing experiments, and generating insights that drive customer acquisition and retention across 200+ countries. Reporting to the Director of Marketing Analytics, you’ll work cross-functionally with Marketing, Product, Engineering, Finance, and Regional teams to create impact at scale. This is a high-visibility, high-impact role that’s ideal for someone who thrives on using data to solve real-world challenges.

Requirements

5+ years of experience in data science with a Bachelor’s or Master’s degree or 2+ years with a PhD, preferably with a focus on marketing, customer analytics, or growth in a fintech or B2C tech environment
Strong programming skills in Python or R, especially for modeling, data manipulation, and visualization
Expertise in statistical methods (e.g., regression, clustering, time-series, causal inference, uplift modeling, Bayesian approaches)
Deep experience with A/B testing, experiment design, and measurement
Proficiency in SQL and working with large-scale datasets from data warehouses (e.g., Snowflake, Redshift, BigQuery)
Familiarity with data visualization tools (e.g., Looker, Tableau, Power BI)
Strong communication skills with the ability to distill complex analysis into clear insights and actionable recommendations
Comfort operating in a fast-moving, ambiguous, and highly collaborative environment

Nice To Haves

Hands-on experience with marketing platforms (e.g., Google Ads, Meta, CRM tools) is a plus
Multilingual skills or global market experience is a plus.

Responsibilities

Develop and deploy advanced statistical and machine learning models to support key marketing initiatives—including media mix modeling, attribution, targeting, and customer LTV forecasting
Design and implement robust experimentation frameworks to power A/B and multivariate testing across marketing channels and customer journeys
Lead exploratory data analysis to uncover opportunities for growth, personalization, and efficiency—leveraging internal and third-party data sources
Build predictive models that inform campaign strategy, audience segmentation, and churn prevention
Collaborate with Data Engineering and Analytics teams to build scalable data pipelines and ensure data integrity for modeling and reporting
Partner with performance marketing, CRM, brand, and regional teams to translate analytical findings into business action
Develop clear, concise, and compelling data stories for leadership and cross-functional stakeholders
Stay ahead of the curve on new methodologies, tools, and privacy trends in marketing data science—and help drive their adoption across the organization.