On-Site AI Data Scientist: Gen‑AI, NLP & Visualization

Unissant

Ashburn (VA)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

Unissant is seeking a Data Scientist in Ashburn, VA, with over 5 years of experience in Data Science. The role involves designing machine learning models, analyzing complex datasets, and collaborating with teams to deliver insights. Candidates should possess strong analytical skills, proficiency in Python and SQL, and an educational background in Computer Science or related fields. The position requires excellent communication skills and the ability to convey technical information to various audiences. This is an on-site role, aligned with Eastern Standard Time work hours.

Qualifications

  • Minimum 5+ years of experience in Data Science.
  • Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js.
  • Strong foundation in statistical methods, hypothesis testing, and experimental design.

Responsibilities

  • Design and implement machine learning models and statistical methods to solve complex business challenges.
  • Analyze large and complex data sets to uncover trends.
  • Communicate findings effectively to various audiences.

Skills

Machine Learning
Data Visualization
Statistical Methods
Data Analysis
Python
SQL
Communication Skills

Education

Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems
Master's degree (preferred)

Tools

TensorFlow
PyTorch
Tableau
AWS

Job description

Unissant is seeking a Data Scientist in Ashburn, VA, with over 5 years of experience in Data Science. The role involves designing machine learning models, analyzing complex datasets, and collaborating with teams to deliver insights. Candidates should possess strong analytical skills, proficiency in Python and SQL, and an educational background in Computer Science or related fields. The position requires excellent communication skills and the ability to convey technical information to various audiences. This is an on-site role, aligned with Eastern Standard Time work hours.
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