Smart Synergies
Senior Data Scientist
Smart Synergies, Mc Lean, Virginia, us, 22107
Client is seeking a Senior Data Scientist to support a U.S. Federal Government Agency working with classified media. This position will work with a team of developers, architects, and data scientists to build new capabilities for our client, bringing innovative ideas to challenging and complex problems. The Senior Data Scientist will query and structure data, apply algorithms to develop machine learning models, develop metrics and data visualizations, and deploy visualization products to web-based environments. The Senior Data Scientist will have a strong background in technology, the ability to structure data for reporting, and a strategic view for how to present analytic results to customers. This position will be responsible for presenting and explaining complex results to users. Join our team of collaborative self-starters focused on delivering practical and efficient solutions in support of our client's incredibly important mission.
Responsibilities
Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala)
Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges
Query databases using SQL with structured data and perform statistical analysis
Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks
Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations
Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools
Think strategically about how to publish data visualizations and present analytic results
Support business decisions with ad hoc analysis
Qualifications
3-5 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community
3-5 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory
3-5 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods
Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization
Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products
Active TS/SCI with FS polygraph required
Responsibilities
Gather and process raw data at scale by using statistical packages (e.g., R, SAS) and programming languages (e.g., Python, Java, and Scala)
Develop performance metrics, conduct statistical analyses, and apply decision models to address business process challenges
Query databases using SQL with structured data and perform statistical analysis
Develop a familiarity with machine learning algorithms and advanced statistical methods, such as regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks
Use critical thinking skills to assess how machine learning capabilities can best be applied to complex business situations
Develop intuitive dashboards and data visualization products using Tableau or other data visualization tools
Think strategically about how to publish data visualizations and present analytic results
Support business decisions with ad hoc analysis
Qualifications
3-5 years of experience using data sources from industry, academia, the IC, the military, and/ or the scientific community
3-5 years of experience discovering, organizing, and structuring data and applying advanced analytic techniques, such as mathematical modeling, geospatial analysis, and applications of graph theory
3-5 years of experience using Python, R, or other coding languages and developing and evaluating algorithms and methods
Experience in advanced analytics, such as social network analysis (SNA), social media analysis, graph theory, geospatial analysis, and data visualization
Experience with data manipulation, analytic papers or report writing, and subject matter briefing(s), slides and graphic products
Active TS/SCI with FS polygraph required