Principal Data Scientist

Apply

Workplace Type

Onsite

Data Scientist FAQ

Common questions from people exploring this role.

Do I need a PhD to become a Data Scientist?

How much of the job is actually machine learning?

What’s the difference between a Data Scientist and a Machine Learning Engineer?

What portfolio projects actually impress hiring managers?

* Own the measurement strategy for the platform: define the metrics that say whether learners are actually improving, and hold the company to them * Design and run the experimentation program — A/B tests, holdouts, and rigorous LLM evaluation — and set the standards other teams build on * Build the data foundation: pipelines, semantic layer, dashboards, and models that serve both internal decisions and customer-facing analytics * Partner with product, design, and engineering to turn ambiguous questions into analyses that change what we ship * Work directly with customers' BI and enablement teams so they can tell the story of impact with Yoodli inside their own organizations * Build models that turn communication signal into product value — scoring, skill progression, benchmarking, and churn or expansion prediction * Translate analysis into a clear recommendation for executives and the board, and defend it * Set the technical bar for data at Yoodli: review others' analyses, mentor engineers and PMs on experiment design, and lay the groundwork for a team

Senior Level

Loading...

Loading description…

* 8+ years in data science, product analytics, or a closely related field, including time as the most senior data person on a product or business line * Deep expertise in SQL and Python, and comfort shipping production-grade analytical code * A track record of running an experimentation program, not just individual tests — power analysis, sequential testing, guardrail metrics, and the discipline to call a result null * Experience evaluating LLM or other generative systems: building eval sets, designing rubrics, measuring quality when there is no clean ground truth * Fluency with modern data stacks (dbt, Snowflake, BigQuery) and BI tooling (Looker, Mode, Hex, or similar), and the judgment to choose what a company this size actually needs * Demonstrated influence on product strategy at the exec level — you can show a decision that went a different way because of your analysis * Excellent communication skills, and the ability to be the clearest thinker in a room full of opinions * Nice to have: speech analytics, NLP, or conversational AI; embedded or customer-facing analytics; early-stage startup experience * Ability to be on-site at our Seattle,WA office M, T, and TH

Why Yoodli

* Mission-driven company helping millions improve how they communicate * The data function is yours to define, with executive visibility from day one * Collaborative, inclusive team with room to grow * Competitive compensation and meaningful equity * Base Salary: $200k – $220k * Flexible work environment * Startup culture

No description available.