Data Scientist

GRVTY•Chantilly, VA

11d•$150,000 - $250,000•Onsite

About The Position

GRVTY is seeking a Data Scientist with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. The Sponsor’s office collaborates with internal and external offices to curate and contextualize enterprise level information about Sponsor resources and activities in support of corporate metrics and increasing workforce effectiveness. The office integrates wide-ranging business data sets to create reliable and repeatable methodologies. The Sponsor requires data analysis support to address complex business and intelligence questions at an enterprise level and translate complex, technical findings into an easily understood narrative.

Requirements

Active TS/SCI with Polygraph Clearance
Demonstrated experience in two or more of the following disciplines: a. Business analytics, b. Statistics, c. Data verification and validation, d. Data visualization
Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
Demonstrated experience creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
Demonstrated experience interpreting data models and working with a variety of data sources and structures.
Demonstrated experience translating customer requirements into project or system specifications.
Demonstrated experience with strong interpersonal and communication skills.
Demonstrated experience as a self-starter with the ability to decompose ambiguous problems into actionable plans.
Demonstrated experience using Tableau.
Demonstrated experience transforming, manipulating, and combining data using a programming language, such as Python.
Demonstrated experience using a data preparation tool, such as Tableau Prep Builder.
Demonstrated experience using Excel and SQL.
Utilizing critical thinking and analytic judgements and applying programmatic, quantitative, and qualitative methods to identify patterns and relationships in disparate datasets.
Using mathematical, statistical, or other data-driven analysis to address business questions.
Interacting with customers to coordinate requirements and resolve data questions.
Working independently or as a member of a team to research, organize, and analyze information.
Documenting workflows.
Working on several tasks simultaneously with minimal supervision.
Providing analytical judgement and trend analysis based on research and comparisons with past products.
Obtaining structured and unstructured data from multiple sources, synthesizing it, and presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.

Nice To Haves

Demonstrated experience with data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
Demonstrated experience working with Sponsor business or mission data, Sponsor applications, or Sponsor database structures.
Demonstrated experience with the Sponsor’s data handling procedures.
Demonstrated experience with visualization tools, such as Jupyter, Visio, SharePoint, or Confluence.
Demonstrated experience with APIs.
Demonstrated experience using GitHub, or similar version control systems.
Demonstrated experience using Python or R.
Bachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems…or 4 years of relevant data analysis experience within the IC or military.

Responsibilities

Applying qualitative and quantitative data analysis methods to business analytics problems.
Creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
Interpreting data models and working with a variety of data sources and structures.
Translating customer requirements into project or system specifications.
Utilizing critical thinking and analytic judgements and applying programmatic, quantitative, and qualitative methods to identify patterns and relationships in disparate datasets.
Using mathematical, statistical, or other data-driven analysis to address business questions.
Interacting with customers to coordinate requirements and resolve data questions.
Working independently or as a member of a team to research, organize, and analyze information.
Documenting workflows.
Working on several tasks simultaneously with minimal supervision.
Providing analytical judgement and trend analysis based on research and comparisons with past products.
Obtaining structured and unstructured data from multiple sources, synthesizing it, and presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.