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About the Role

As a Senior Data Scientist, you will influence growth and investment decisions by analyzing drivers of customer profitability and long-term value. You will partner with Marketing, Product, Pricing, and Risk teams to design experiments, build measurement frameworks, and apply causal analysis to guide business strategy.

Responsibilities

• Design and analyze A/B tests, holdouts, and geo experiments to evaluate initiatives and establish causality.
• Build measurement approaches for marketing, product, pricing, and risk initiatives including incrementality, ROAS, CAC, retention, and lifetime value.
• Apply statistical and causal inference techniques such as regression, seasonality adjustment, and interrupted time series to determine business impact.
• Analyze customer behavior to identify growth opportunities and root causes of performance trends.
• Translate analytical findings into actionable recommendations for business stakeholders.
• Partner cross-functionally to raise analytical, measurement, and experimentation standards.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, or a related quantitative discipline.
• 4–6 years of experience in Data Science, Product Analytics, Marketing Analytics, or Growth Analytics.
• Advanced SQL and Python or R skills.
• Strong foundation in statistics, experimentation, and causal inference methodologies.
• Experience designing and analyzing A/B tests, controlled experiments, and holdouts.
• Experience measuring incrementality and evaluating business initiatives.
• Strong understanding of growth and performance metrics including ROAS, CAC, conversion, retention, and customer lifetime value.
• Excellent communication skills with the ability to translate complex analysis into business recommendations.
• Preferred: Experience in fintech, financial services, or digital businesses.
• Preferred: Experience with Snowflake, Power BI, or Tableau.
• Preferred: Exposure to attribution modeling, marketing mix modeling, Bayesian methods, or advanced experimentation.

Skills

• SQL
• Python
• R
• Statistics
• Causal Inference
• A/B Testing
• Experimental Design
• Data Analysis
• Growth Analytics
• Product Analytics
• Marketing Analytics
• Snowflake
• Power BI
• Tableau

Work Type

• Hybrid
• Full-time

Experience Level

• 4–6 years

Education Level

• Bachelor's degree

Salary/Compensations

• Competitive compensation including performance-based incentives

Benefits

• Short-term incentives
• Multiple health insurance options
• Accident and life insurance
• Access to professional development platforms
• Defined Contribution pension plan
• Global Travel Policy
• Global Employee Assistance Programme

About the Company

• Western Union is a global leader in payments moving beyond remittances and cash.
• The company is transforming into a digital-first organization powered by next-generation payments.
• Committed to helping people prosper and redefining financial experiences.

Equal Opportunity

• We do not discriminate based on race, color, national origin, religion, political affiliation, sex (including pregnancy), sexual orientation, gender identity, age, disability, marital status, or veteran status.
• The company provides accommodations to applicants with disabilities during the recruitment process.