Why Work Here?
“Transformative Technology, Awesome CEO, Great Benefits, Room for Growth.”
We have an opportunity for a highly motivated data scientist to join our rapidly growing team. Our mission is to bend the healthcare cost curve by using data science to identify cases of fraud, waste, and abuse (FWA). FWA accounts for up to 10% of every dollar spent in our healthcare system. That equates to almost 370 billion dollars lost annually. FWA is a growing problem. As providers find ways to evade traditional forms of rule-based fraud detection, our customers need to enhance their firepower with advanced analytics. The data science team is the keystone of our corporate structure. Our data scientists directly translate business problems into technical solutions as well as interface with both clients and the internal engineering team. This makes presentation skills just as critical as technical skills.
You will have broad opportunities to succeed and grow, both technically and non-technically. Our data science team is the keystone of our corporate structure, directly translating business problems into technical solutions, interfacing both with clients and our internal engineering team. This makes presentation skills just as important as technical skills.
As a start-up, we want you to be able to grow with us. You’ll be able to learn from a management team with a combined 60+ years of technical and medical expertise and a history of successful exits. Our founder has developed 70+ systems in his career, 2 of which are still number 1 in the world today.
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About Alivia Analytics:
Alivia Technology is a healthcare analytics company focused on building Fraud, Waste, and Abuse toolsets and solutions for Private and Public Healthcare Payers in the US and Canada. Up to 10% of every dollar spent is Fraud, Waste, or Abuse in the US Healthcare system. That amounts to up to 370 Billion dollars lost annually. Identifying new ways to bend the cost curve is going to be essential to making healthcare affordable and effective in the future. If you are interested in expanding your responsibilities and career while building world-class analytic systems and analyzing data for social good, come and join us.