Staff Data Scientist, Harvey

• 5+ years of experience in quantitative roles operating in highly ambiguous environments, ideally as an early data scientist or product analyst within a hyper-growth product company or research organization
• Proven track record of designing, executing, and analyzing rigorous experiments using SQL and Python, with the ability to translate results into actionable product recommendations
• Experience defining, implementing, and operationalizing feature- and product-level metrics from the ground up
• Strong communication skills, with the ability to effectively partner with product managers, engineers, and executives
• Strategic mindset capable of generating insights that extend beyond traditional statistical significance testing to inform long-term product and business direction

Desirable

• We are looking for a Staff Data Scientist who can set the foundation for data science at Harvey
• We’ve achieved incredible product-market fit and are scaling rapidly across diverse customer profiles
• You’ll bring a combination of analytical rigor, statistical expertise, and modeling skills to help us understand our users, evaluate product performance, and uncover growth opportunities
• As one of the earliest members of the data science team, you’ll influence the data culture, shape our experimentation framework, and guide key product and business decisions
• Conduct in-depth analyses to uncover product, customer, and market insights that inform strategy and drive measurable business impact
• Design, implement, and evaluate experiments - including A/B tests and advanced causal inference methods - to guide product decisions and optimize outcomes
• Define, track, and evolve core metrics across product and business functions, building scalable dashboards and reporting frameworks that enable data-driven decision-making
• Apply statistical and machine learning techniques to model user behavior, forecast trends, and identify opportunities for growth and optimization
• Translate complex analyses into compelling stories, delivering clear recommendations to product managers, engineers, executives, and cross-functional partners
• Partner with Engineering to co-develop data infrastructure, ensuring robust pipelines, reliable data sources, and scalable systems that power analytics and modeling
• Lead cross-functional analytics initiatives that synthesize competitive dynamics, customer feedback, and market trends into actionable opportunities for the business
• Champion a data-informed culture by establishing best practices, mentoring peers, and shaping the strategic role of data science at Harvey