Own end-to-end experimentation and analytical workflows that help the business learn fast and make confident decisions rooted in data.
Work closely with product, data engineering, and business stakeholders to start with customer and business goals, and work backwards to design the right experiments, features, metrics, and models.
Focus initially on optimizing our data pipeline for media data (audio and text) — helping improve throughput, quality, and utility of data as it flows through our systems.
Contribute to the evolution of our data infrastructure to support more advanced capabilities — including eventual creation of novel datasets and internal modeling workflows (e.g., for voice or multimodal data).
Design, analyze, and interpret experiments across tools/services/technologies to identify what works best — producing actionable insights that influence product direction, operations, and future research.
Translate complex analytical outcomes into clear business insights and product recommendations, occasionally contributing to broader thought leadership and research narratives.

Strong analytical background (e.g., statistics, experimentation, causal inference) with several years of real-world experience in data science or research-oriented roles.
Comfort operating independently and pragmatically in a startup environment, balancing speed and rigor.
Excellent communicator who can bridge technical and business audiences — asking the right questions, framing hypotheses, and presenting findings effectively.
Demonstrated ability to guide experimentation from design through interpretation, and connect results back to product and business levers.

Senior Data Scientist

Key skills