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Data Science

2 months ago

Washington, United States Insight Global Full time
Job DescriptionJob Description

Location: Remote (EST)

Length: 6-month contract to hire

Salary: 140k-160k

Clearance: Secret (Can hold Top Secret)

Responsibilities: 

  • Develop and maintain a data exploration and feature engineering pipeline to enable data readiness for modeling within a secure and compliant infrastructure. 
  • Implement and manage Databricks, JupyterHub, and other modern tools for exploratory data analysis, AI design, model development, and training. 
  • Integrate tools with Bitbucket for version control and collaboration. 
  • Configure AWS S3 buckets for Feature Store, ensuring compliance with UNAX rules and separate security contexts for different teams. 
  • Establish and maintain a model development pipeline utilizing MLflow for experiment tracking and model registry. 
  • Create AWS Lambda functions and implement AWS Flow for efficient model artifact storage and metadata management. 
  • Integrate with AWS RDS for robust data management and retrieval. 
  • Configure SNS notifications for model promotion workflows. 
  • Support data science teams in adhering to Responsible AI Principles via the implementation of the Responsible AI Toolbox. 

Requirements: 

  • Must be able to obtain a Public Trust clearance 
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field and 7 years experience. 
  • Proven experience with cloud services, particularly AWS (S3, Lambda, RDS, SNS, etc.). 
  • Expertise in setting up and managing data science environments with tools such as Databricks, JupyterHub, MLflow, and Bitbucket. 
  • Strong proficiency in programming languages and tools such as SQL, Python, R, and Spark. 
  • Familiarity with machine learning frameworks and libraries. 
  • Deep understanding of data security and privacy, especially in compliance with IRS standards. 
  • Experience with CI/CD pipelines and infrastructure as code. 
  • Excellent communication skills and the ability to collaborate with cross-functional teams.