Data Scientist, Growth & Monetization

The Role

We’re looking for a high-impact Data Scientist to unlock deeper customer insights, drive smarter marketing decisions, and build models that boost user engagement and monetization. This is a hands-on, business-critical role — ideal for someone who thrives at the intersection of growth, product, and analytics.

This is a pivotal hire. You’ll be the engine behind smarter decision-making across our most important channels. You’ll shape how we acquire, retain, and grow our customer base — and your work will directly impact revenue, margins, and user happiness.

What You’ll Do

• Build predictive models to forecast churn, retention, upsell potential, credit progression, and lifetime value
• Develop user segmentation and engagement scoring to power personalized messaging, lifecycle marketing, and feature adoption.
• Analyze performance across hundreds of marketing channels, especially affiliates, to optimize spend and ROI.
• Own A/B testing design and measurement to accelerate learnings across acquisition, product, and comms.
• Provide channel attribution and funnel analysis to identify what drives high-value customers.
• Conduct customer journey and conversion analysis to uncover friction points and recommend actionable improvements.
• Partner with marketing and product teams to translate data into experiments and features that move the needle.
• Turn raw data into business decisions and  identify where to spend more, where to pull back, and surface areas of opportunity across marketing, product, and lifecycle
• Monitor and improve key growth KPIs: CAC, CPA, ROAS, LTV, churn, conversion rates, and engagement.

What We’re Looking For

• 4+ years in a data science or advanced analytics role, ideally in D2C SaaS or fintech
• Expert in Python, SQL, and data visualization tools (Tableau, Looker, PowerBI)
• Proficient in Excel and experienced with cloud data platforms (AWS Redshift, QuickSight, PowerBI)
• Experience building scalable data pipelines and architectures across AWS, GCP, or Azure using serverless tools and managed services
• Skilled in machine learning (e.g., scikit-learn, XGBoost, AWS SageMaker) with a strong foundation in statistics, predictive modeling, and experiment design
• Deep understanding of SaaS metrics (LTV, CAC, ARPU, churn) and how to impact them
• Skilled at translating complex findings into clear, actionable insights for non-technical teams, with a track record of driving meaningful business decisions
• Creative, ambitious, and thrives in fast-moving environments
• Proven track record of using data to drive growth
• Bonus: Experience with Singular, Mixpanel, Stitch; Familiar with affiliate platforms

Equal Opportunity

Dovly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.