Data Scientist

We're building AI-powered experiences that make a real difference. With millions of users and rich, diverse datasets, we see AI — especially large language models (LLMs) — as core components of the features we deliver across our products.

We are seeking a Data Scientist passionate about applying cutting-edge AI to solve complex, real-world challenges. What matters most is your ability to translate business problems into AI-driven solutions, iterate rapidly based on rigorous evaluation, and deliver impactful products.

Responsibilities

• Design and implement robust evaluation frameworks to measure AI system performance against real-world outcomes and user needs
• Drive rapid experimentation and iteration cycles — using eval results to continuously improve prompts, pipelines, and model selection
• Leverage LLMs and foundational models to design and integrate AI features that improve user experiences
• Translate ambiguous product goals into concrete AI opportunities — making thoughtful decisions that balance feasibility, impact, and complexity
• Analyze diverse datasets to uncover trends and opportunities where AI can drive meaningful product improvements
• Fine-tune models (especially LLMs) when necessary and deploy them efficiently for production serving
• Continuously evaluate new AI methods, tools, and models with a pragmatic approach to identify those offering tangible benefits
• Communicate findings effectively to engineers, product managers, and stakeholders

• BS/MS in Computer Science, Mathematics, Statistics, or related quantitative field

• Hands-on experience applying AI/LLM-based solutions in real-world environments
• Strong understanding of evaluation methodologies for AI systems
• Familiarity with machine learning concepts and modern AI techniques
• Experience with Python and analytical/ML tooling
• Strong communication skills and a user-first mindset
• Comfortable navigating ambiguity and making decisions with incomplete information
• Curiosity and desire to stay current in a rapidly evolving field

Plus

• Track record of owning AI projects end-to-end — from problem definition through production deployment
• Experience deploying and serving models in production environments
• Familiarity with MLOps principles, deployment pipelines, and monitoring systems
• Ability to balance accuracy, latency, cost, and scale when shipping AI to production

• You’ll have a massive impact : Millions of people will use what you build.
• You’ll be part of a team that values craftsmanship , speed , and innovation .
• We offer flexible working hours , health insurance , and a culture that values learning and autonomy .
• You’ll be surrounded by people who care about doing great work — and enjoy it along the way.