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Applied Scientist III

Intelliswift Software Inc
WA - Seattle
$79 an hour
Full-time

Customer Job

Applied Scientist III

Job ID : 24-03750

Pay rate range - $75 / hr. to $79 / hr. on W2

Remote

PST local

Must Have

Deploying ML models

Python

Qualifications

  • Bachelor's or Master’s degree in an analytically rigorous field (Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics).
  • Experience as an ML engineer or data scientist role building and deploying ML models on the cloud.
  • Experience writing code in Python and SQL, or similar, with documentation for efficient knowledge sharing and reproducibility.
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
  • Excellent communication skills with the ability to explain complex technical concepts to non-technical audiences, while also efficiently interacting with deeply technical peers.
  • Knowledge of AWS (e.g. Athena, Sagemaker, S3, EC2, RDS).

Leadership Principles

  • Deliver results
  • Bias for action
  • insist on high standards

Typical Tasks

Develop a new ticket classification model using labeled, historical data

Collaborate with internal teams to define model requirements, gather data, and interpret results.

Implement a robust model testing regime to validate the effectiveness against predefined accuracy metrics.

Establish and oversee a continuous improvement strategy for the classification model, including regular data benchmarking and revision schedules.

Work closely with technical and non-technical stakeholders to ensure the model aligns with business needs and compliance standards.

Provide expertise in machine learning and predictive modeling to optimize the performance of the classification system.

Document all phases of model development and provide training and support to internal teams on utilizing the new system.

Job Description

We are seeking an experienced Data Science Contractor to lead the development and implementation of a new trouble ticket classification model.

This role involves collaborating closely with cross-functional teams and external partners to design, test, and deploy an advanced model that meets the strategic objectives of improved accuracy and performance in automated ticket classification.

30+ days ago
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