Applied Scientist III

Intelliswift Software Inc; Seattle (WA); Remote; USD 125,000 - 150,000; Full time

Job summary

A leading company is seeking an experienced Data Science Contractor to develop and implement a new trouble ticket classification model. This role involves close collaboration with teams to refine model requirements and ensure compliance with business needs. Ideal candidates will have a strong background in machine learning, possess advanced coding skills in Python and SQL, and be adept at communicating complex concepts to various stakeholders.

Qualifications

• Experience as an ML engineer or data scientist role.
• Track record of achieving results in dynamic environments.
• Able to explain technical concepts to non-technical audiences.

Responsibilities

• Develop a new ticket classification model using labeled historical data.
• Collaborate with teams to define model requirements and gather data.
• Document all phases of model development.

Skills

Python

Machine Learning

SQL

Communication

Education

Bachelor's or Master’s degree in an analytically rigorous field

Tools

AWS

Job description

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).
• Deliver results
• 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.