Principal Data Scientist, Bayesian Modeling & Inference
Compensation: $200K – $250K base + equity
Location: Remote (USA only)
This is a rare opportunity to lead scientific innovation at the intersection of Bayesian modeling and real-time decision-making, with massive data and high-stakes optimization challenges.
Our client is seeking a Principal DS to architect and deploy probabilistic models that underpin their next-gen pricing intelligence. You'll define best practices, champion Bayesian methodologies, and build models that drive measurable revenue lift.
What You’ll Do
- Design and deploy Bayesian models for forecasting, uncertainty quantification, and causal inference
- Lead end-to-end model development, from research to production
- Influence long-term ML strategy and mentor other scientists
- Collaborate cross-functionally to ensure modeling insights drive business impact
What You’ll Bring
- Deep expertise in Bayesian statistics and probabilistic modeling
- Experience applying these methods in high-scale, real-world systems
- Strong coding skills in Python and experience with PyMC3, Stan, or similar tools
- Track record of technical leadership and delivering impact through DS
Tech Stack
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Python, PyMC3, Stan, NumPyro, SQL, AWS, Airflow
Why Join?
- Own the scientific direction in a pivotal, high-autonomy role
- Partner closely with engineering to bring models to life
- Join a company investing heavily in R&D and model-driven decisions
