Senior Data Science Engineer

WethosAI is an enterprise AI company applying behavioral science to executive decision-making. As a Senior Data Science Engineer you'll sit at the intersection of research and production: turning behavioral and psychometric models into deployable systems, and building the pipelines that keep them sharp as we ship.

What you'll do: Design and own end-to-end ML pipelines that power our core product features.

• Operationalize psychometric and behavioral models from our research team: embeddings, propensity models, latent-trait inference.
• Build evaluation harnesses that hold model outputs to a scientific bar, not just an engineering one.
• Partner with product to ship features that are statistically honest about uncertainty.
• Mentor on data quality, experimental design, and reproducibility across the team.

What we're looking for: 5+ years building production ML systems. Bonus if any of that was inside behavioral science, psychometrics, or organizational research.

• Fluency in Python and the modern data stack (pandas / Polars, PyTorch, scikit-learn, dbt or equivalent).
• Strong intuition for when to reach for a foundation model and when a simple Bayesian model is the right answer.
• Comfort working closely with LLMs as a substrate, not a magic box: prompt engineering, tool use, evals, fine-tuning.
• A bias toward shipping, and a discipline for measuring what you ship.

Nice to have: Background in I/O psychology, computational social science, or behavioral economics. • Experience with agent frameworks (LangGraph, CrewAI, custom orchestration). • Published research or open-source contributions in any of the above.