Machine Learning Data Scientist

Company: Harnham
Location: New York, New York, United States
Type: Full-time
Posted: 31.JUL.2021

Summary

MACHINE LEARNING DATA SCIENTIST $130,000 - $150,000 + equity + benefits New York City An innovative health-tech company is looking for a...

Description

MACHINE LEARNING DATA SCIENTIST

$130,000 - $150,000 + equity + benefits

New York City


An innovative health-tech company is looking for an advanced machine learning data scientist to aid them in their mission to revolutionize patient care utilizing artificial intelligence.


THE COMPANY

You would be working for a well-funded start-up that aims to create a better patient experience utilizing machine learning technology. In the past year, they have invested millions of dollars in new tech for the Data Science, Computer Vision, and Engineering teams. The culture of the company is centered around solving challenging problems through creativity and collaboration.


THE ROLE:

As a Machine Learning Data Scientist, you will be part of a multidisciplinary team of engineers, statisticians, and researchers. Some of the day to day responsibilities include:

  • Utilize a large amount of diverse healthcare data to examine causal relationships between healthcare quality and patient outcomes
  • Create, optimize, and validate machine learning models
  • Communicate results to external & internal stakeholders
  • Prepare material to be published in scientific journals


YOUR SKILLS AND EXPERIENCE:

  • Ph.D. or Masters in statistics, biostatistics, computer science, or a related STEM field
  • United States industry experience post-graduation building machine learning models
  • Significant experience with tree-based methodologies, supervised & unsupervised learning, and ensemble techniques, strongly prefer deep learning experience
  • Strong Python and/or R programming skills


THE BENEFITS:

The successful Machine Learning Data Scientist will earn a base salary of $130,000 - $150,000 and a comprehensive benefits package that includes 100% of healthcare costs covered.


HOW TO APPLY:

Please register your interest by sending your CV to Nitasha Khazanchi via the Apply link on this page.


KEYWORDS: Python, pandas, NumPy, scikit-learn , data science, machine learning, random forest, XG Boost, decision tree, unsupervised machine learning, supervised machine learning, statistics, deep learning, ensemble methods, PyTorch, TensorFlow

 
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