Principal Data Scientist (Forecasting & Modeling)

Principal Data Scientist (Forecasting & Modeling)

$270,000 base + 15% bonus + equity

Remote (USA only)

No visa transfer / sponsorship

A global SaaS company powering real-time revenue decisions for thousands of businesses is hiring multiple Principal Data Scientists to lead the next generation of its forecasting and pricing intelligence engine.

This is a rare opportunity to work at scale on highly dynamic forecasting challenges — blending classical statistics, Bayesian modeling, and modern deep learning. You’ll help shape how industries forecast demand and price products across thousands of locations and customer segments.

What you’ll do:

• Build large-scale forecasting systems using Bayesian, hierarchical, and neural approaches

• Develop probabilistic models that balance accuracy, interpretability, and performance

• Quantify uncertainty and reconcile multi-level forecasts across thousands of entities

• Collaborate with ML Engineers to deploy production-grade models via AWS, MLflow, and Airflow

• Partner with business and product teams to translate models into measurable revenue impact

What we’re looking for:

• 8+ years of applied data science or ML experience

• Deep understanding of statistical forecasting, probabilistic modeling, and time series

• Strong programming skills in Python and experience shipping production ML systems

• Hands-on experience with tools such as PyTorch, TensorFlow, PyMC, or Stan

• Pragmatic mindset with a track record of delivering high-impact models in real-world settings

Compensation:

• Base salary up to $270,000

• 15% annual bonus

• Meaningful equity tied to a 3–5 year exit plan

• Fully remote within the US

Join a team of builders and researchers tackling one of the most complex forecasting problems in the market — where your models directly shape business decisions at scale.