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.

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)
• 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.

Preferred

• Multilingual skills or global market experience is a plus.

Benefits

• 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
• Generous Parental Leave