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MoneyGram

Sr. Data Scientist, Marketing- 25010554

MoneyGram, Dallas, Texas, United States, 75215

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Job Description - Sr. Data Scientist, Marketing (25010554)

Job Description

Sr. Data Scientist, Marketing - (25010554)

Description 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.

What You Will Do:

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.

What We Are Looking For:

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)

Hands‑on experience with marketing platforms (e.g., Google Ads, Meta, CRM tools) is a plus

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

Multilingual skills or global market experience is a plus.

Location:

This position will be remotely based in the United States

Here Are Some Reasons You Will Love Working At MoneyGram!

Remote first flexibility

Generous PTO

13 Paid Holidays

Medical / Dental / Vision Insurance

Life, Disability, and other benefits

401k with competitive Employer Match

Community Service Days

Anticipated Base Pay: $145,000 - $200,000 + participation in our annual bonus plan

The salary/pay rate listed is a good faith determination that may be offered to a successful applicant for this position at the time of this job advertisement based on company hiring process and budget for this role and may be modified in the future. Actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.

MoneyGram does not sponsor US work authorizations for this job position including H-1Bs, O-1, and TN. MoneyGram also does not hire F-1s working on EAD for this position.

About MoneyGram MoneyGram International, Inc is a global financial technology leader, empowering consumers and businesses to send and manage money across 200 countries and territories. With an industry‑leading app and one of the world's largest cash distribution networks, MoneyGram processes more than $200 billion annually, serving over 50 million people. A pioneer in blockchain technology, the company enables customers to buy, sell, and hold digital currencies, with over 50% of transactions now digital. Headquartered in Dallas, TX, MoneyGram is celebrated for its strong culture, earning the Top Workplaces USA award three years in a row.

At MoneyGram, we celebrate the inclusivity and diversity of our employees. We're committed to promoting a respectful workplace where every applicant gets an equal opportunity to work at MoneyGram. We prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

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