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AWS Cloud Data Scientist

  • Job type Posted on: May 28, 2026
  • Experience level 3B Staffing LLC
  • Employment type Seattle, Washington
  • Employment type Onsite
  • Salary Full-time

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Job Title :

AWS Cloud Data Scientist

Job Type :

Full-time

Job Location :

Seattle Washington United States

Remote :

No

Jobcon Logo Job Description :

Hello, Greetings!!! This is Abhinav from Jconnect INC . Below is the requirement with my client. Please let me know if you are available for this role. Title: AWS Cloud Data Scientist Location: Seattle WA Duration: Fulltime JOB DESCRIPTION : Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools. Model Development: Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes. Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale. Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs. Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use SageMaker and Lambda for model hosting and API development. Documentation and Reporting: Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support. If you are interested, please send me your updated resume ASAP with below details : Full Name: Current Location/Zip: Contact Number: E-Mail Id: Visa/Work Permit Status: Current Rate/Salary: Expected Base Salary: Notice Period/Availability to Start: Willingness to relocate to job location: Preferred Interview timings (Specify Time zone): Overall Experience Summary: LinkedIn URL:

Jobcon Logo Position Details

Posted:

May 28, 2026

Reference Number:

14660_93E8C80BDF4A87FA8A2EB3B80360D5F8

Employment:

Full-time

Salary:

Not Available

City:

Seattle

Job Origin:

APPCAST_CPC

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Hello, Greetings!!! This is Abhinav from Jconnect INC . Below is the requirement with my client. Please let me know if you are available for this role. Title: AWS Cloud Data Scientist Location: Seattle WA Duration: Fulltime JOB DESCRIPTION : Data Analysis and Exploration: Analyze large, complex datasets to extract meaningful insights and identify trends. Perform exploratory data analysis (EDA) using AWS data processing tools. Model Development: Build, train, and evaluate machine learning models using AWS services such as SageMaker, and frameworks like TensorFlow. ETL and Data Preparation: Work with AWS Glue, Redshift, Textract and other data engineering tools to preprocess, transform, and manage data for machine learning purposes. Machine Learning Pipeline Development: Develop end-to-end machine learning pipelines on AWS to automate and operationalize the deployment of models at scale. Collaboration: Work closely with data engineers, business analysts, and stakeholders to understand business needs and tailor data science solutions to meet those needs. Model Deployment and Monitoring: Deploy models to production and set up monitoring systems to track performance, accuracy, and other key metrics. Use SageMaker and Lambda for model hosting and API development. Documentation and Reporting: Document models, processes, and findings for stakeholders, enabling clear communication of results and decision support. If you are interested, please send me your updated resume ASAP with below details : Full Name: Current Location/Zip: Contact Number: E-Mail Id: Visa/Work Permit Status: Current Rate/Salary: Expected Base Salary: Notice Period/Availability to Start: Willingness to relocate to job location: Preferred Interview timings (Specify Time zone): Overall Experience Summary: LinkedIn URL:

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