Principal Data Science Engineer

MDAEdge is focused on combating the skilled worker crisis by unlocking high pay and high dignity careers for talent. They are seeking a Principal Data Science Engineer to join a founding team with the opportunity to impact all areas of the stack while developing core technology products and executing data strategies.

Responsibilities:

• Developing our core technology product, a data-rich system of engagement and record for identifying, qualifying, staffing, optimizing, and retaining skilled talent
• Partnering to build and execute a data strategy in support of the long-term business vision
• Building Client algorithms to support skilled worker retention as well as matching algorithms underlying a labor marketplace
• Flexing across the entire machine learning model development lifecycle, including EDA, data pipelines, feature engineering, model productionisation and monitoring
• Analyzing data (market, user behavior, etc.) to inform new feature development and the associated ROI across our various customer personas
• Ensuring security best-practices around PII and other sensitive data/access
• Bringing values-centered leadership and deep belief in our mission for serving customers, partners, & employees

Requirements:

• Tracker record of building and shipping production-grade data products, from 0-1
• Comfortable working across the stack with modern programming languages and frameworks (Python, Java) & platforms (AWS, GCP, Azure, etc.)
• Able to flex from 100% data science focus to 100% engineering execution based on company needs, with the most likely split being near the center
• Early-stage startup experience
• Big tech company experience at companies such as: Amazon (strongly preferred), Apple, Twitter, Amazon, Google, Meta, MicroSoft, Netflix, etc