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Urgent! Principal Data Science Engineer Job Opening In Dallas Texas – Now Hiring Macpower Digital Assets Edge Private Limited

Principal Data Science Engineer



Job description

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





Role Overview:




  • Seeking a high-impact 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 early-stage team with a focus on creating large-scale positive impact in the world while also generating substantial value in a multi-trillion-dollar industry .



What you'll be doing:




  • 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.




Must have:




  • 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.




Nice to have:




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




Required Skill Profession

Other General



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