Data Scientist (Ts/Sci + Poly)

Herndon, VA
Description
The DarkStar Group is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Herndon, VA. Below is an overview of the project, as well as information on our company, our benefits, and our $25,000 referral program.

Required Skills

• Demonstrated experience engaging with customers to understand and anticipate changing needs and requirements, anticipate substantive questions, and formulate qualitative and quantitative research designs to answer them.
• Demonstrated experience identifying and extracting data from multiple sources.
• Demonstrated experience applying qualitative and quantitative methods to the analysis of data.
• Demonstrated experience highlighting key issues and relationships from a base of information.
• Demonstrated experience relating and comparing data from different sources.
• Demonstrated experience drawing conclusions supported by data.
• Demonstrated experience distilling analyses into formats appropriate for both technical and non-technical audiences.
• Demonstrated experience describing the value and possible applications of analytical procedures to other Data Scientists, managers, and customers.
• Demonstrated experience using statistical concepts and methods with a background in quantitatively rigorous fields such as data science, mathematics, computer science, econometrics, and engineering.
• Demonstrated experience creating and applying advanced algorithms and models to solve analytic problems.
• Demonstrated experience managing and transforming structured and unstructured data.
• Demonstrated experience programming with Python or R core functionality.
• Demonstrated experience using applicable libraries and packages for data transformations, statistical analysis, visualization, and machine learning.
• Demonstrated experience interacting and transforming information from database tables using SQL

Desired Skills (Optional)

• Demonstrated experience building Tableau dashboards.
• Demonstrated experience with Databricks and Apache Spark

• The Contractor shall clean and transform data into workable formats.
• The Contractor shall engage with domain-specific Sponsor experts to rapidly acquire data and process specific insights needed to address customers’ core problems.
• The Contractor shall engage with Sponsor customers in person and via electronic communication to ensure that deliverables meet customer requirements.
• The Contractor shall provide timely answers to customer questions.
• The Contractor shall provide briefings on products to a variety of audiences.
• The Contractor shall contribute to briefings both as a technical subject matter expert and as a lead presenter.
• The Contractor shall deliver products such as customized ad-hoc reports and interactive dashboards.
• The Contractor shall deliver rapid analysis results within a Sponsor-specified period.
• The Contractor shall develop new tools and methods to provide customers with better insights into mission areas, improve customer efficiency, and highlight concerning or non-obvious patterns in data.
• The Contractor shall design and implement forecasting models.
• The Contractor shall refine forecasting model designs based on Sponsor feedback.
• The Contactor shall engineer solutions to automate work processes and make them repeatable.
• The Contractor shall automate data feeds from key data sources into centralized analytic environments.
• The Contractor shall work with multiple stakeholders to identify key security and business challenges and provide data-driven support to risk-based analysis of security issues.
• The Contractor shall identify and leverage datasets relevant to the question area, and produce actionable insights through data exploration, analysis, visualization, and the application of statistical and machine learning techniques.
• The Contractor shall work with data in a variety of formats including databases, spreadsheets, and flat files.
• The Contractor shall translate data findings into compelling stories for both technical and non-technical audiences.
• The Contractor shall produce artifacts such as analytic white papers, PowerPoint presentations, briefings, and interactive Tableau dashboards.
• The Contractor shall work in an “iterate fast” environment.
• The Contractor shall distill customer challenges into key questions that can be answered wholly or in partnership with data and frame results into actionable recommendations.

Required Skills

• Demonstrated experience engaging with customers to understand and anticipate changing needs and requirements, anticipate substantive questions, and formulate qualitative and quantitative research designs to answer them.
• Demonstrated experience identifying and extracting data from multiple sources.
• Demonstrated experience applying qualitative and quantitative methods to the analysis of data.
• Demonstrated experience highlighting key issues and relationships from a base of information.
• Demonstrated experience relating and comparing data from different sources.
• Demonstrated experience drawing conclusions supported by data.
• Demonstrated experience distilling analyses into formats appropriate for both technical and non-technical audiences.
• Demonstrated experience describing the value and possible applications of analytical procedures to other Data Scientists, managers, and customers.
• Demonstrated experience using statistical concepts and methods with a background in quantitatively rigorous fields such as data science, mathematics, computer science, econometrics, and engineering.
• Demonstrated experience creating and applying advanced algorithms and models to solve analytic problems.
• Demonstrated experience managing and transforming structured and unstructured data.
• Demonstrated experience programming with Python or R core functionality.
• Demonstrated experience using applicable libraries and packages for data transformations, statistical analysis, visualization, and machine learning.
• Demonstrated experience interacting and transforming information from database tables using SQL.

Desired Skills (Optional)

• Demonstrated experience building Tableau dashboards.
• Demonstrated experience with Databricks and Apache Spark.