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Senior Data Scientist

Strata Decision Technology is one of the fastest-growing healthcare SaaS application and services companies in the country currently working with one of five hospitals in the U.S. to drive margin to fuel their mission.  Our passion at Strata is to help heal healthcare by putting data in the hands of physicians and healthcare providers to drive both clinical and financial performance.  With 20+ years of experience, Strata is one of the most respected and trusted brands in the market and a true leader in understanding the cost of care and optimizing resources.

As a Senior Data Scientist, you will have the opportunity to work with many of the nation’s leading healthcare providers in utilizing their financial, operational, and clinical data to drive their mission of providing world-class care while improving their financial health.

Job Description

We are looking for a Senior Data Scientist with healthcare experience to join our team at Strata.  The focus of this unique role will be to help us discover and leverage the vast amounts of financial, operational, and clinical data within our application to help enable our customers to make smarter decisions and deliver even better healthcare. Your primary focus will be applying data mining techniques and statistical analysis to healthcare and financial data within and across our customer base. You will consult on and build the ideal data environment that will enable data insights to go from single reports to fully integrated modules within StrataJazz, our “Best in KLAS” enterprise SaaS solution.

Responsibilities include, but not limited to:

  • Working with product and data integration teams to understand how best to utilize data resources
  • Data mining using state-of-the-art methods
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company’s data with third party sources of information when needed
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Conducting ad-hoc analysis and presenting results in a clean, clear and actionable manner
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Consulting on strategic vision of data services business line

Education and Experience:

  • MS in Applied Mathematics, Statistics, Economics, or Engineering required. Ph.D. Preferred
  • 4-6 years’ experience using statistical data analysis techniques on projects within healthcare and/or finance
  • Expertise in translating strategic questions into tactical work plans and outputs

Skills and Qualifications

  • Ability to install and configure tools needed for data analysis of large data sets
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Excellence in at least one of these is highly desirable
  • Ability to present results of analysis to differing audiences within healthcare on both the financial and clinical side (CFO, CEO, CMIO, Physicians, etc.)
  • Experience with data visualization tools, such as D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL, Hive, Pig
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Good scripting and programming skills  
  • Data-oriented personality
  • Ability to travel up to 10%

 

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