Research Scientist - Growth

August 2

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Personal Loans • FinTech • Marketplace Lending • Artificial intelligence • Finance

1001 - 5000

Description

• Participate in research and development efforts to innovate and refine predictive models for direct mail campaigns, implementing state-of-the-art machine learning algorithms to enhance conversion probability accuracy. • Coordinate and run prospects selection as part of direct mail campaigns. • Collaborate closely with cross-functional teams including engineers and marketing specialists to design and execute experiments aimed at optimizing campaign outcomes. • Evaluate the impact of model enhancements on revenue metrics and provide actionable insights to stakeholders. • Present findings and recommendations to stakeholders and contribute to strategic discussions on enhancing campaign effectiveness and ROI. • Continuously propose and explore creative ways to leverage machine learning to improve marketing strategies and drive business growth.

Requirements

• Advanced degree in Computer Science, Statistics, Mathematics, or a related quantitative field. • Proficiency in Python and in machine learning frameworks (e.g., XGBoost, PyTorch, sk-learn). • Strong understanding of statistical modeling, experimental design and model development principles. • 2-3 years of hands-on experience in applying machine learning techniques to real-world problems, preferably in marketing analytics or related fields. • Proven track record of developing and deploying predictive models using machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn). • Proficiency in Scala and Spark. • Strong critical thinking skills and a structured approach to problem-solving. • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Benefits

• Competitive Compensation (base + bonus & equity) • Comprehensive medical, dental, and vision coverage • Personal Development and Technology & Ergonomic Budgets • Life insurance and disability benefits • Clubs and Activities (Game Nights, Fitstarters, Superwomen, Book Club, Investing Club, Money Discussions, Photography Club and Basketball teams) • Generous vacation policy • 401(k) and Employee Stock Purchase Plan (ESPP) • Catered lunches + snacks & drinks