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Data Science Strategist

2 weeks ago

Hyderabad, Telangana, India UnitedHealth Group Full time

Optum is a global organization that delivers care aided by technology to help millions of people live healthier lives. Our mission is to make the health system work better for everyone.

Job Description

We are seeking an experienced Data Scientist to join our team. As a key member of our data science community, you will develop advanced quantitative modules using various programs and software to support predictive assessment and analytics model behavior results to business.

You will carry out technical risk analysis and reliability assessments, performing complex analyses including optimization, text analytics, machine learning, social-science modeling, and statistical analysis. You will also provide recommendations for plans, programs, strategies, policies, and budgets, designing algorithms that require different models and methods to be used together.

Key Responsibilities:

  • Develop advanced quantitative modules using various programs and software.
  • Communicate analytics model behavior results to business.
  • Carry out technical risk analysis and reliability assessments.
  • Perform complex analyses including optimization, text analytics, machine learning, social-science modeling, and statistical analysis.
  • Provide recommendations for plans, programs, strategies, policies, and budgets.
Required Qualifications

To be successful in this role, you should have a Bachelor's degree in Statistics, Operations Research, Mathematics, Physics, Computer Science, or Engineering, or a related field, with at least 10 years of experience in Data Science or related fields. A Master's degree is preferred.

Comprehensive knowledge of modern data science and product web analytics tools and techniques, including Python and associated data science ecosystem, Machine Learning, Google Cloud Data platform, BigQuery, Dataflow, etc., is required.

Broad knowledge and understanding of advanced statistical, machine learning, and/or data mining techniques, as well as knowledge of both traditional machine learning algorithms and modern deep learning and generative AI models and methods, are also necessary.