Job Summary
We have an opportunity for you to use your analytical skills to improve public healthcare. 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 mentor teammates, develop algorithms, write scripts, apply machine learning, help scale machine learning applications to new clients and challenges, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our federal government clients 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.
- Minimum Qualification: Degree
- Experience Level: Senior level
- Experience Length: 3 years
Job Description/Requirements
Nice To Have:
- 3+ years of experience with data science, machine learning, cloud engineering, data analytics, or data research
- Experience with AWS Cloud services
- Experience managing disparate data sources, including preprocessing, cleansing, and verifying data integrity
- Experience performing data exploration and analysis to support analytics objectives
- Experience with natural language processing, text mining, or search capabilities
- Experience leveraging statistical programming languages, including Python,
- Experience with program automation, CI/CD, DevSecOps, or Agile
- Ability to obtain a security clearance
- Bachelor's degree
Nice If You Have:
- Experience with Docker, Kubernetes, or Jenkins
- Experience with data visualization tools or technologies, including Tableau, Qlik, RShiny, and with data analysis for health organizations
- Experience with healthcare or clinical data
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
- Experience with spaCy, FastAPI, gensim, and Hugging Face
- Experience creating data infrastructure models and implementing them in healthcare client systems
- Experience with Node and React
- Experience working with or deploying a machine learning model into production
- Ability to exhibit flexibility and initiative when dealing with ambiguous and fast-paced situations
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