Data Scientist

Key Responsibilities

: Utilize cloud-based data analysis tools, visual analytic tools, and open-source textual processing technologies to analyze and interpret datasets Extract, transform, load, analyze, and interpret data to provide recommendations to customer leadership Provide reports on associated patterns, anomalies, and data quality issues with data samples Develop expertise with customer applications, analytic capabilities, existing data, and mission objectives to help drive recommendations for new datasets and the comprehensive data strategy Conduct ongoing research on emerging data science methodologies and technologies, implementing new approaches to interpret and utilize data Analyze unstructured and semi-structured data using advanced techniques such as latent semantic indexing (LSI), entity identification and tagging, and complex event processing (CEP) Utilize advanced tools and computational skills to interpret, connect, predict, and make discoveries in complex data Apply machine learning, algorithm analysis, and data clustering techniques to evaluate datasets Communicate and present ideas to key stakeholders. Writing, documenting, and presenting technical material to senior level officials Leverage project management tools such as, Gitlab, Jira, Confluence, SharePoint.