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ML Data Scientist USA Hybrid

BURGEON IT SERVICES LLCDallas, TX🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationDallas, TX, United States
AWSPythonMachine Learning

Job description

Job Title: ML Data Scientist
Domain: Oil & Gas
Location: USA
Work Mode: Hybrid
Duration: 12 months plus
Experience: 5–7 Years

Please send your updated resume to pranayatburgeonitsdotcom
Job Description:
We are looking for an experienced ML Data Scientist with strong Python programming and hands-on experience building traditional/classical machine learning models. The candidate should understand the mathematical concepts and algorithms behind ML models and have experience improving model performance and deploying models into production.
Mandatory Skills:
  • Strong Python programming and modular coding.
  • In-depth understanding of traditional/classical machine learning algorithms.
  • Hands-on experience building ML models such as Random Forest.
  • Strong understanding of the mathematical intuition and working principles behind ML algorithms.
  • Experience in model development, performance improvement, and optimization.
  • Understanding of ML model deployment into production environments.
  • Strong analytical and abstract problem-solving skills.
  • Excellent communication skills and ability to understand and gather business requirements.
Good to Have:
  • AWS exposure or experience working with ML models in AWS environments.

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