Lead Data Scientist

The Lead Data Scientist will play a key role in driving business growth through advanced analytics, machine learning, and domain-specific AI solutions. Working closely with Marketing, Sales, and Customer Experience teams, you will identify strategic opportunities and develop data-driven approaches to improve customer acquisition, engagement, retention, and revenue performance. This role combines deep technical expertise with strong business acumen, enabling you to turn complex data into actionable insights and measurable results. You will lead the development of scalable predictive models, experimentation frameworks, and automated solutions while collaborating with engineering teams to bring them into production. As a technical thought leader, you will also shape data science best practices and mentor junior team members. This is a fully remote opportunity within the United States, with a potential in-person interview during the hiring process.

• Bachelor's degree in a STEM discipline required; a master's degree or Ph.D. is preferred.

• At least 7 years of professional experience in data science, machine learning, or growth analytics, with a demonstrated record of delivering measurable business impact.

• Expert-level proficiency in SQL and Python, with experience using modern data science and machine learning ecosystems.

• Strong background in growth-focused data science, including paid marketing optimization, attribution, funnel analysis, experimentation, and customer segmentation.

• Experience designing and leading complex A/B/n testing frameworks, including multi-armed bandit approaches and causal inference models.

• Hands-on experience developing, deploying, and maintaining production machine learning models.

• Familiarity with fine-tuning Generative AI models and large language models (LLMs) for domain-specific applications is an advantage.

• Excellent communication and storytelling skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• Ability to navigate ambiguous, zero-to-one problem spaces where established benchmarks or clear ground truths may not exist.

• Strong product and business intuition, with confidence partnering with senior-level stakeholders and influencing strategic decisions.

• Experience in consumer-focused businesses, fintech, SaaS, or marketplace environments is preferred.