Data Scientist (Algorithms, Community Support)

• We’re looking for a talented Data Scientist with LLM/ML expertise to join the Community Support Data Science team
• In this role, you’ll partner closely with the tech lead to tackle significant components of high-impact projects with a direct opportunity to shape and influence our AI-powered products, differentiated service experiences, and operational optimization strategies
• You’ll work on high-impact projects like:
• Implement advanced techniques to automate the LLM evaluation process with high efficiency and quality
• Scale the high-quality synthetic datasets curation across various CS domains for training and evaluating LLM
• Build LLM/ML models to understand customer issues based on diverse datasets and identify failure modes and opportunities for improvement
• Build personalization models to offer differentiated experiences and maximize business impact
• Discover Opportunities: Identify high-impact business opportunities through data exploration and model prototyping, and translate business problems into scientific formulations
• Uncover Insights: Analyze structured and unstructured data to uncover meaningful insights and craft actionable proposals that help shape strategy
• Build and Ship: 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
• Collaborate Cross-Functionally: Build strong relationships with cross-functional partners across Product, Design, Engineering, Operations, and Analytics to drive collaboration and innovation
• Influence Decisions: Communicate learnings to leaders and stakeholders in a clear, compelling manner that drives informed, data-driven decision-making
• Empowerment: Think strategically about how to scale and evolve data science capabilities within your domain, contributing to the long-term vision for how science drives platform outcomes

Benefits

• Paid volunteer time
• Health food and snacks
• Generous parental and family leave
• Learning and development
• Annual travel and experiences credit- The ideal candidate combines deep technical fluency in LLM/ML with a bias toward action and impact, comfort with ambiguity, and a passion for building scalable, scientific solutions
• State-of-the-art knowledge of AI/ML models
• Ability to translate complex findings and results into compelling narratives that drive impact
• 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
• A product-oriented mindset, with the ability to apply conceptual and innovative thinking to develop and implement solutions that consider the user experience
• Excellent project management, communication, and collaboration skills
• 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