Overview
GovCIO is currently hiring for a Data Scientist to in Denver and will be an onsite position.
Responsibilities
Develops, inspects, mines, transforms, and analyzes data to create descriptive and predictive models that impact productivity, decision making, and provide strategic mission impact.
Data Integration - Applies data wrangling tools including ETL, ELT, and programming languages to collect and blend data from operational and relevant external systems.
Data Analysis Applies data mining, machine learning, and statistical analysis on data to create predictive and descriptive models.
Applies and integrates these models to develop segmentation, clustering, forecasting, classification and other models. Data Visualization Applies Data discovery and data visualization tools to interpret and present the findings in a compelling and usable manner.
Maintains and integrates analytical systems with operational systems, verifies the accuracy of the data and analytics. Interacts with both business and data SMEs.
1.Generates new business insights through data extraction, storage, transformation, analysis, and visualization of diverse data sets.
2.Collects and transforms structured, unstructured, relational, and NoSQL data using ETL and ELT tools as well as develops custom code using programming languages.
Understands and uses distributed (e.g. MapReduce) methods that scale to multi-Terabyte sized data collections.
3.Analyzes data using data mining, machine learning, and statistical algorithms available in COTS tools (e.g. AWS Sagemaker, ElasticSearch);
builds analytical solutions using programming languages (e.g. Python), and programming libraries (e.g. Python SciKit-Learn, PyTorch, TensorFlow).
4.Interprets and evaluates accuracy of results through iterative methods.
5.Applies data discovery and data visualization tools (e.g. Kibana) to develop compelling, actionable, useful data stories that inform live operators.
6.Works closely with data SMEs, business, and management to prioritize business and information needs.
7.Uses deep learning processes (e.g. convolutional neural networks, Long Short-Term Memory models, transformer models) to characterize data in ML operations.
8.Leads a team of data scientists & engineers as needed to support DevOps.
Qualifications
High School with 9+ years (or commensurate experience)
Clearance Required : TS / SCI with Counter Intelligence Polygraph
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