Data Scientist, Mid (R0111848)

Details

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors — from fraud detection, to cancer research, to national intelligence — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve public health. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop analytics and automation and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the client make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in public health.

Empower change with us.

You Have:

• Experience with R and Python analytical programming in a professional public health science setting
• Experience with SAS programming using advanced programming methods and techniques, including macros, arrays, or PROC SQL to manipulate large complex database files 
• Experience with visualization tools, including PowerBI, Tableau, or Splunk
• Knowledge of data manipulation using statistical software
• Ability to write communication through the development of standard operation procedures (SOPs), analytic reports, or manuscripts submitted for publication
• Ability to obtain a security clearance
• BA or BS degree in Analytics, Bioinformatics, Math, Biostatistics, CS, Data Science, Epidemiology, or Life Science

​Nice If You Have:

• Experience with analyzing complex weighted surveys
• Experience with program documentation, including code commenting
• Ability to work in high performance and cloud based environments (Azure, AWS)
• MA or MS degree in Analytics, Bioinformatics, Math, Biostatistics, CS, Data Science, Epidemiology, or Life Science