Client facing Data scientist

Added: 11/24/2021

REF: 16900

Contract: Permanent

Location: New York, United States

We are looking for Machine Learning Engineers to join our diverse and collaborative team!

What we do:
We are an Enterprise AI company that helps companies get the most out of Ai. We empower our clients with production monitoring and optimization, and the ability to decrease bias.

As a Client facing Data Scientist, you will build capabilities for:

  • High-dimensional density estimation, data drift detection, and time series anomaly detection

  • Large-scale Explainability methods for tabular, image, text, and video data

  • Detect and mitigate problems of Fairness and Bias in ML algorithms

You might have:

  • A Masters or PhD in a quantitative field

  • At least two years of professional experience in a data science or ML role

  • At least two years of experience with Python, Scala, Java, or R with emphasis on common ML ecosystem components with two years of experience with Tensorflow, PyTorch, or other DL frameworks.

  • Experience deploying ML models to production and thinking deeply about model risk management.

  • knowledge of Software engineering best practices

  • keeping up with Ai publications, ML technical blogging, and/or open source projects

You might also have:

  • Experience with public cloud (AWS, GCP, Azure)

  • Experience in a product-driven data science role

JP Valentine
Speak to to JP Valentine or apply below

Director of Customer Success JP is a Senior STEM staffing professional with 9 years' experience in the technology sector across multiple Industries and continents.

Email: jp@alldus.com

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