Principal Data Scientist, Operations

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Innovate and enhance machine learning models to drive financial advancement for customers.

• Design, develop, and implement machine learning models to address real-world challenges.

• Collaborate with business leaders and technical specialists to establish new data sources and refine modeling methodologies.

⛳️ Requirements

• Experience in creating, deploying, and managing supervised learning models within production systems for critical applications, along with a passion for serving as a technical mentor.

• Possesses a PhD in a quantitative discipline and at least 3 years of relevant experience in a related position.

• Holds a BS/MS in a quantitative field with a minimum of 7 years of experience in a related role.

• Shares best practices in software engineering and assists skilled, experienced data scientists with intricate technical challenges.

• Identifies as a generalist data scientist driven by practical solutions.

• Adheres to strong software engineering principles (test-driven development, code reviews, refactoring) and is familiar with the PyData stack (numpy, scikit-learn, pandas, etc.).

• Displays interest in a diverse array of ML solutions, including established tools (e.g., Spark, Kubernetes, Airflow, MLFlow), emerging technologies (such as Chalk, BentoML, or DVC), and the development of proprietary tools.

🏝️ Benefits

• Comprehensive health, dental, and vision coverage.

• Flexible Spending Account for medical and childcare expenses.

• Paid parental leave.

• 401k Company Match.

• Generous paid time off (PTO).

• Flexible work schedules.

• Subscription to Calm App.