Explore and exploit data sources through the use and creation of scientific processes and technologies to uncover and communicate business insights. Apply specific functional knowledge and working or general industry knowledge. Develop or contribute to solutions to a variety of problems of moderate scope and complexity. Work independently with some guidance and review or guide activities of junior employees. This position is open to remote delivery anywhere within the U.S., to include the District of Columbia.
2+ years of experience with machine learning, data science, data analytics, or statistics
Experience with supervised and unsupervised machine learning techniques, including neural networks, decision trees, logistic regressions or dimension reduction
Experience with identifying and analyzing data sets to meet customer requirements
Experience with preparing customer data for models, including merging and aggregating data, handling anomalies, balancing and feature selection
Knowledge of data science languages or application, including Python, R, or SAS to build predictive models
Ability to help interpret model results and communicate them clearly through compelling data visualizations
Ability to obtain a security clearance
Experience with healthcare analytics and data, including claims data or electronic health records
Experience with machine learning tools, including Keras, TensorFlow, or Tesseract
Knowledge of procedural SQL language, including PL and pgSQL
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
The proposed salary range for this position in Colorado is $90,000 to $130,000. Final salary will be determined based on various factors.
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