Manager, Data Science - Ai For Data

EPX

McLean, VA, US
Mclean, va: $197,300 - $225,100; new york, ny: $21...
**
Python, conda, aws, h2o, spark
Machine learning model development
Large volumes of numeric and textual data
** EPX is seeking a Manager of Data Science for their AI for Data team, based in multiple locations including McLean, VA, New York, NY, and San Jose, CA. The role focuses on leveraging advanced machine learning technologies to drive insights from large datasets, while collaborating with cross-functional teams to develop innovative data-driven products. **

Job Summary

  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.

Matching Summary

Match Score: 75

** EPX is seeking a Manager of Data Science for their AI for Data team, based in multiple locations including McLean, VA, New York, NY, and San Jose, CA. The role focuses on leveraging advanced machine learning technologies to drive insights from large datasets, while collaborating with cross-functional teams to develop innovative data-driven products. **

Salary

McLean, VA: $197,300 - $225,100; New York, NY: $215,200 - $245,600; San Jose, CA: $215,200 - $245,600; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Python, Conda, AWS, H2O, Spark
  • Machine learning model development
  • Large volumes of numeric and textual data
  • Translate complexity into business goals
  • Open-source programming languages
  • Machine learning
  • Relational databases

Nice-to-have

  • Creative problem-solving
  • Statistical modeling expertise
  • Big data analysis skills
  • Iterate rapidly with researchers and engineers

Key Requirements

  • Bachelor's Degree + 6 years data analytics
  • Master's Degree + 4 years data analytics
  • PhD + 1 year data analytics
  • 1 year open source programming
  • 1 year machine learning
  • 1 year relational databases

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter