Offer summary

Qualifications:

Proven experience building and deploying production-grade data products., Proficiency in programming languages such as Python and Java., Experience with cloud platforms like AWS, GCP, or Azure., Background in early-stage startup environments is preferred..

Key responsibilities:

Develop and enhance the company's core data-driven technology platform.

Design and implement data strategies aligned with business goals.

Create and optimize algorithms for talent retention and marketplace matching.

Analyze data to inform feature development and measure ROI.

Job description

Benefits: Medical, Dental, Vision, Paid time off, Stock plan, Remote work policy.

Role Overview:

Seeking a highimpact principal data science engineer to join a founding team focused on advancing our mission to combat the skilled worker crisis by unlocking high pay, high dignity careers for talent. The role will have a high degree of autonomy and will have the opportunity to touch all areas of the stack (full stack machine learning, Client operations and API development).

This role represents a chance to join an earlystage team with a focus on creating largescale positive impact in the world while also generating substantial value in a multitrilliondollar industry .

What youll be doing:

Developing our core technology product, a datarich 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 longterm 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 bestpractices around PII and other sensitive dataaccess .

Bringing valuescentered leadership and deep belief in our mission for serving customers, partners, & employees.

Must have:

Tracker record of building and shipping productiongrade data products, from 01.

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.

Earlystage startup experience.

Nice to have:

Big tech company experience at companies such as: Amazon (strongly preferred), Apple, Twitter, Amazon, Google, Meta, MicroSoft, Netflix, etc.