Data Scientist

Hybrid in Plano, TX, US • Posted 2 days ago • Updated 2 days ago
Contract W2
Contract Independent
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Mining
  • Machine Learning (ML)
  • SQL
  • Python
  • PyTorch
  • scikit-learn
  • NumPy
  • TensorFlow
  • Cloud Computing
  • Data Scientist
  • Microsoft Azure
  • Google Cloud Platform

Summary

Job Description

We are seeking an experienced Data Scientist or Machine Learning Engineer with a strong technical foundation and a proven track record of delivering end-to-end machine learning solutions.

Key Responsibilities
  • Design, develop, and deploy machine learning models to solve complex business problems
  • Own the full modeling lifecycle, including data extraction, cleansing, feature engineering, model development, deployment, and ongoing maintenance
  • Apply statistical modeling, experimental design, and data mining techniques to derive actionable insights
  • Work with large-scale datasets in cloud environments (preferably Google Cloud Platform)
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Communicate findings and technical concepts clearly to both technical and non-technical stakeholders
Required Qualifications
  • 5+ years of professional experience in a Data Scientist or Machine Learning Engineer role
  • Expert-level proficiency in Python and key machine learning libraries (e.g., NumPy, pandas, scikit-learn, TensorFlow, PyTorch)
  • Strong understanding of statistical analysis, modeling techniques, and experimental design
  • Hands-on experience with SQL and working with large datasets
  • Experience with cloud platforms, preferably Google Cloud Platform (Google Cloud Platform); experience with AWS or Azure is also acceptable
  • Excellent communication and presentation skills
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: 90887977
  • Position Id: 8962329
  • Posted 2 days ago
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