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Data Scientist

Cynet SystemsCharlotte, NC🇺🇸United StatesPosted 23 Jul 2026

Why This Role Stands Out

This hybrid Data Scientist role offers an excellent opportunity to build impactful machine learning pipelines on AWS and gain experience across various AI/ML use cases, with competitive hourly compensation. You'll thrive here if you have a passion for data-driven solutions and are eager to contribute to innovative projects within a dynamic technology environment. Apply today to advance your career in data science!

Quick Overview

Salary
$60 - $65/hr
Work Type
Hybrid
Level
Mid Senior

Job Description

We are looking for Data Scientist for our client in Charlotte, NC.

Job Title: Data Scientist

Job Location: Charlotte, NC

Job Type: Contract

Job Overview:

Pay Range $60hr - $65hr

Requirement/Must Have:

  • 1+ years of experience in data science or related field.
  • Strong verbal and written communication skills.
  • Experience with machine learning frameworks and tools.

Responsibilities:

  • Design and implement end-to-end 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 modeling.
  • 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 AI/ML 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.

Skills:

  • Proficiency in Python and R.
  • Experience with AWS services.
  • Knowledge of machine learning algorithms.

Education and Experience:

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Relevant certifications in data science or machine learning are a plus.

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Benefits
Our Benefits Include:
  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities
Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.

About Cynet Systems

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.
As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Skills

AWS
ETL
Machine Learning
NLP
SOC 2
Agile
Computer Vision
Python
Redshift

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