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Senior Data Scientist

Cynet SystemsRaritan, NJ🇺🇸United StatesPosted 2 Sept 2026

Quick Overview

Salary
$50 - $55/hr
Seniority
Mid Senior
Work mode
Hybrid
Location
Raritan, NJ, United States
Posted
23 hours ago
SQLScalaMachine LearningSOC 2AgileApacheApache SparkPyTorchPythonTensorFlow

Job Description

We are looking for Senior Data Scientist for our client in Raritan, NJ

Job Title: Senior Data Scientist

Job Location: Raritan, NJ

Job Type: Contract

Job Overview:

Pay Range: $50.00hr - $55.00hr

Requirement/Must Have:

  • Strong knowledge of machine learning principles and algorithms using TensorFlow and PyTorch.
  • Proficient in programming languages such as Python for data analysis and model development.
  • Solid understanding of SQL for data manipulation and querying large databases.
  • In-depth experience with data analytics techniques and tools for interpreting complex datasets.
  • Strong verbal and written communication skills.
  • Excellent communication and presentation skills.

Responsibilities:

  • Design and implement advanced machine learning algorithms using TensorFlow and PyTorch to extract insights from large datasets, delivering customized analytical reports tailored to the needs of colleagues, clients, and stakeholders.
  • Leverage Python and SQL to develop and optimize data models that address specific organizational challenges, ensuring effective integration and management of data.
  • Analyze and mine large datasets to identify trends and patterns, utilizing advanced analytics techniques to interpret findings and provide actionable recommendations based on experimental results.
  • Collaborate with cross-functional teams to identify opportunities for utilizing data insights to formulate strategic business solutions that enhance operational efficiency and product offerings.
  • Create comprehensive visualizations and reports using data visualization tools to communicate complex analysis and results clearly, enabling informed decision-making for customers and stakeholders.

Nice to Have:

  • Certified Data Scientist (CDS).
  • TensorFlow Developer Certificate.
  • Professional Data Engineer Certification.

Skills:

  • Python.
  • Scala.
  • Apache Spark.
  • TensorFlow.
  • PyTorch.
  • SQL.
  • Machine Learning.
  • Data Analytics.
  • Data Visualization.

Qualification And Education:

  • 10+ years of experience.

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.

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