Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations.
Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy.
Build and deploy production LLM/ML models that directly contribute to the launch of data-driven products, leveraging AI tools to enhance efficiency and impact.
Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation.
Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making.
Contribute to the long-term vision for how science drives platform outcomes within your domain.
Requirements
2+ years of relevant industry experience (e.g. data/ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields.
State-of-the-art knowledge of AI/ML models.
Strong fluency in Python/R and SQL, observation causal inference skill is a plus.
Proven ability to communicate clearly and effectively to audiences of varying technical levels.
Ability to translate complex findings and results into compelling narratives that drive impact.
Excellent project management, communication, and collaboration skills.
A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience.