Sr. Data Scientist

U.S. Citizens only — sponsorship is not available now or in the future

Must be currently based in (or willing to relocate to) Arizona before your start date

Looking for a Senior Data Scientist who's done this before — built it, broke it, fixed it, and knows exactly why each decision mattered.

This isn't a "here's a dataset, go build a model" role. You'll be trusted to architect ML solutions at scale, mentor other data scientists, and be the person stakeholders come to when they need a straight answer wrapped in a good story.

• Design and deploy ML systems (forecasting, gradient boosting, deep learning) with real dollar impact — not academic exercises
• Build and maintain production pipelines using Kube Flow, Airflow, or Dataflow across cloud environments
• Use SHAP and model interpretability techniques to defend your model's decisions to non-technical execs
• Mentor junior data scientists and set the technical bar for the team
• Partner directly with engineering and product leadership to shape how ML gets used company-wide

• PhD or Master's in Data Science, CS, Math, Engineering, or related quantitative field
• Deep hands-on experience with Tensor Flow or PyTorch, Python, SQL
• Track record shipping models to production — not just prototyping
• Comfortable owning ambiguity and mentoring others through it
• Bonus: background in Finance, Quantitative Finance, or Economics — this combination tends to produce people who are both sharp with numbers and genuinely persuasive communicators

Hybrid — 1 day/week onsite in Phoenix AZ

If 'I built it, it broke, I fixed it, and here's what I learned' is a sentence you can say more than once — this is your role.