Senior Data Science Engineer

WethosAI, Inc.; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Wethos AI, Inc. is seeking a Senior Data Science Engineer to turn behavioral and psychometric research into deployable ML systems at the core of our product.

You will design end-to-end pipelines and operationalize models from our research team, ensuring rigorous evaluation and reproducibility. You will collaborate with product to ship features that are statistically honest about uncertainty, mentor on data quality and experimental design, and help shape scalable, robust data infrastructure

Qualifications

• 7+ years building production ML systems preferred.
• Experience applying behavior science or psychometrics is a plus.
• Strong Python and data stack fluency; comfort with LLMs as a substrate.

Responsibilities

• Design and own end-to-end ML pipelines powering core features.
• Operationalize psychometric and behavioral models from research.
• Build evaluation harnesses with scientific rigor.
• Partner with product to ship statistically honest features.
• Mentor on data quality, experimental design, and reproducibility.

Skills

Python

Pandas

Polars

PyTorch

scikit-learn

dbt

Bayesian modeling

LLMs

Prompt engineering

Experiment design

Tools

PyTorch

scikit-learn

dbt

Polars

Job description

# Senior Data Science EngineerTurn behavioral science research into the production ML systems at the core of our product.Apply nowAbout the roleWethosAI 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 doDesign 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 for5+ 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 haveBackground 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.## Apply for this role.We read every application personally. Click the button below to draft an email to [e-mail] with a short template pre-filled. Please attach your resume before sending.Email [e-mail]