Data Scientist

Hybrid in Charlotte, NC, US • Posted 5 hours ago • Updated 5 hours ago
Contract Corp To Corp
Contract W2
2 Years
Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Algorithms
  • Amazon Lambda
  • Amazon Redshift
  • Amazon S3
  • Amazon SageMaker
  • Amazon Web Services
  • Analytics
  • Data Science
  • Machine Learning (ML)
  • Python
  • Natural Language Processing
  • Extract
  • Transform
  • Load
  • ETL
  • Machine Learning Operations (ML Ops)
  • Data Collection
  • Data Management
  • Statistics

Summary

JOB DESCRIPTION:

Key Responsibilities

  • Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modelling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • Utilize AWS analytics services Athena Redshift Quick Sight EMR for advanced reporting and visualization
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWSKey Responsibilities
  • Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker AWS Glue AWS Lambda and Amazon S3
  • Perform data collection cleaning and feature engineering to prepare datasets for modelling
  • Develop predictive models and statistical analyses using Python R or similar tools
  • Deploy monitor and optimize ML models in production environments using AWS ML Ops best practices
  • Collaborate with data engineers to design ETL pipelines and ensure data availability and reliability
  • Utilize AWS analytics services Athena Redshift QuickSight EMR for advanced reporting and visualization
  • Work with stakeholders to translate business objectives into data science solutions and actionable insights
  • Apply AIML algorithms for use cases such as forecasting anomaly detection NLP computer vision and recommendation systems
  • Maintain compliance with security and governance standards for data management on AWS
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 70000132
  • Position Id: 9087021
  • Posted 5 hours ago
Contact the job poster
RP

Roselin Priyanka

Recruiter @ Datum Software, Inc.
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