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Scienceabode > Data Scientist

Data Scientist

Last updated: 2025/12/25 at 6:36 PM
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2 Min Read
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  • Permanent
  • United States
  • Posted 6 days ago
Intellisoft Technologies

Website Intellisoft Technologies

Intellisoft Technologies

Company : Intellisoft Technologies

Please go through the JD,

Position: Data Scientist

Location: Greenwood Village, CO / Remote

Duration: Long term, remote

Client: Charter Communications – Denver

Visa Restrictions: No OPT, CPT & H1b

Sub Vending: No

Pay Rate: $60/Hr on W2 without benefits

Bill Rate: $82

//In order to be eligible for this role, consultant must be authorized to work in US without sponsorship now or in the future. Candidates will need to be able to complete a python coding exercise before a 1 and done interview Long term contract, could go full time and if it does candidates will need to relocate. Please be sure to submit a LinkedIn profile//


Required Skills

Looking for a strong Data Scientist with a background in Machine Learning (ML) Must be very strong in Python and AWS Must have big data technologies (Hadoop, Spark, Hive)

Additional Skills

Job Description

REQUIRED QUALIFICATIONS

  • Develop and maintain ML models and pipelines.
  • Aggregate and visualize model results for internal and external audiences.
  • Conduct data exploration and ad hoc analyses using SQL and Python.
  • Perform feature engineering and build ML models, including training and validation.
  • Present insights and results to technical teams and senior leadership.
  • Design, monitor, and test production ML workflows on AWS in collaboration with the MLOps team.
  • Implement unit and integration tests to ensure production reliability and accuracy.
  • Contribute to best practices in model deployment, data quality, and cloud resource management.

PREFERRED QUALIFICATIONS

  • Advanced proficiency in Python for data manipulation, feature creation, and analysis.
  • Demonstrated expertise in building and validating machine learning models, especially in Python.
  • Experience in big data technologies (e.g., Hadoop, Spark, Hive).
  • Deep understanding of data source integration and working with complex, raw datasets.
  • Excellent communication and cross-functional collaboration skills.

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