Data Scientist (W2)

Phoenix, AZ, US • Posted 1 day ago • Updated 1 day ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

✨ Finding the perfect fit...

Job Details

Skills

  • Amazon Web Services
  • Continuous Delivery
  • Analytics
  • Customer Analysis
  • Cloud Computing
  • Data Science
  • Communication
  • Continuous Integration
  • Data Mining
  • Forecasting
  • Lifecycle Management
  • Machine Learning (ML)
  • Microsoft Azure
  • Statistics
  • Microsoft Power BI
  • Reporting
  • Predictive Analytics
  • Predictive Modelling
  • SQL
  • Management
  • Machine Learning Operations (ML Ops)
  • Optimization
  • Use Cases
  • PyTorch
  • TensorFlow
  • Unsupervised Learning
  • Visualization
  • Python
  • scikit-learn
  • XGBoost

Summary

Job Role: Data Scientist
Experience: 10 
Location: Phoenix, AZ
Visa: & USC

Required Qualifications:
* Bachelor s degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative discipline.
*  3-4  years of experience in data science, machine learning, predictive analytics, or a similar role.
* Hands-on experience building and validating machine learning models using Python.
* Strong understanding of supervised and unsupervised learning techniques.
* Experience with statistical analysis, predictive modeling, and data mining methodologies.
* Advanced SQL skills and experience working with large datasets.
* Experience using visualization and reporting tools such as Power BI.
* Excellent communication skills with the ability to translate technical findings into business recommendations.


Preferred Qualification:
* Master s degree in a quantitative field.
* Experience working in AWS, Azure, or other cloud-based environments.
* Exposure to MLOps concepts, including model deployment, monitoring, CI/CD pipelines, and model lifecycle management.
* Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
* Familiarity with predictive analytics, forecasting, optimization, customer analytics, or operational analytics use cases.

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: 90718572
  • Position Id: 9042569
  • Posted 1 day ago
Contact the job poster
kiran myneni

kiran myneni

Talent Acquisition Manager @ ISite Technologies Inc
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