Data Scientist

Unitedhealth Group Inc
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, Spanish
Experience level
Intermediate

Job location

Tech stack

Artificial Intelligence
Data analysis
Data Mining
Python
Power BI
TensorFlow
Azure
SQL Databases
Jupyter Notebook
Feature Engineering
PyTorch
Large Language Models
Scikit Learn
XGBoost
Nintex
Machine Learning Operations

Job description

  • Data Science Model Hypotheses Formulation
  • Exploratory Data Analysis and Feature Engineering
  • Model building, training, and testing
  • AI and MLRB Governance compliance - Obtain and maintain necessary approvals
  • Model deployment
  • Model scoring and making scores available for production campaigns
  • Model drift monitoring and adjustment recommendations
  • Translate complex models and findings into actionable business insights and compelling narratives for stakeholders
  • Other duties may apply

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

  • 3+ years of experience as a Data Scientist
  • 3+ years of experience in data mining methods and tools (Scikit-learn, XGBoost, TensorFlow, PyTorch - for building predictive models)
  • 3+ years of experience with SQL
  • Experience with Power BI
  • Experience developing rule-based, statistical, and data mining models
  • Experience developing Statsmodels - For statistical modeling in Python
  • Experience working with Jupyter Notebooks - For exploratory analysis and sharing code-based insights
  • Familiar with probability, statistics, linear algebra, matrices concepts
  • Familiarity with AI tools (LLMs) and frameworks (LangChain, n8n, and others) OP
  • Fully Bilingual Spanish/English proficiency

Preferred Qualification:

  • MLOps tools (Azure ML, MLflow, or similar) experience

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