Data Science

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If you were a kid, would you look up to you?

Stacy D. Competitive Horse Rider Sr. Director of Software Engineering

Take the Next Step

Having volumes of data is the right starting point when the goal is important new strategic business intelligence. But it’s only a start. Because now, the real work begins. Think of these opportunities with Optum as an invitation to unleash your analytic skills on the kind of data that arises from more than 500 billion annual transactional events. Optum is investing more than $2.5 billion in our technology resources every year.  Why? To arrive at new and better decisions with greater accuracy. We’re working with data covering more than 200 million people and more than 1.5 billion healthcare claims. We’re digging deep into this data using SAS, ANN, Python and dozens of emerging tools that lead us to new insights, greater accuracy and business decisions that are intended to help improve the way healthcare systems perform around the world.  That’s big data with big purpose.  And that’s why working here can lead you to your life’s best work.SM

 

What you Need to Know:

  • Our work can help create tools that reduce fraud and errors in processing healthcare payments.
  • These roles use sampling methodology and data analysis that leads to predictive models and ability to document process impact and results.
  • You’ll assist with on-going tracking and performance monitoring of analytic applications and recommend improvements to methods or algorithms that help uncover new findings and new information.

What We Are Looking For:

  • These positions require an advanced degree in computer science, (bio) statistics, applied statistics, mathematics, machine learning or similar quantitative field of study.
  • You’ll need substantial experience in predictive modelling with knowledge of ANN, SVM, Random Forests, SOMs and ensemble modeling highly preferred.
  • Strong analytic programming skills using SAS. R, or Python are also preferred.
  • You’ll also need strong communication skills.

Explore Data Science Careers

Data Scientist

As a Data Scientist you are expected to build analytic solutions that generate business value by leveraging machine learning techniques on Hadoop infrastructure. You would also be responsible for growth and maturity of the capability out of Ireland. More Information

Data Analyst

As a Data Analyst you will using your analytic and programming skills to help develop new solutions that support our mission to help people live healthier lives. You will also ideate and research new concepts as well as help define and test analytical use cases that will impact business decisions. More Information

Business Intelligence Developer

In this role, you will be responsible for developing, delivering and supporting healthcare data visualisation applications. These applications are focused on investigating key business problems through quantitative analyses of utilization and healthcare costs data to provide statistical findings and conclusions. More Information

Business Systems Analyst

At Optum, we're using leading-edge technology to create the healthcare system of tomorrow. When you join us as a Business Systems Analyst, you'll become part of a team focused on innovation and change. You'll work a little harder. You'll aim a little higher. You'll expect more from yourself and others. And at the end of the day, you'll be doing a lot of good. Through a lot of inspired individuals, we are using technology to build a healthcare system that works better for more people in more ways than ever. We are looking to reinforce our team with people who are decisive, brilliant and built for speed -- people like you. More Information

Data Engineer

As an Innovation Lab Data Engineer you will spend the majority of your time analysing requirements, writing functional specifications and performing testing to support the development efforts. This candidate will be responsible for meeting with internal customers to collect requirements and help the customer with any questions or concerns. You will act as the liaison between the technical and non-technical teams; which may require leading meetings and/or projects. As an Innovation Lab Data Engineer, on this specialised team of results-oriented problem solvers, you will be responsible for developing the Payment Integrity Innovation. More Information
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