Data Scientist (TS/SCI with Poly)

Job DescriptionJob DescriptionDescriptionORBIS is seeking an innovative Data Scientist with a TS/SCI and appropriate polygraph level clearance. The Data Scientist will be responsible for identifying data sources and needs, performing aggregation and analysis of that data, and integrating the sponsor office into the broader data science community. They will be responsible for interfacing with upstream and downstream data providers and consumers and will advise (and potentially help implement) on architectures to make the data useful and accessible. The Consultant will support a variety of efforts not restricted to a singular geographic region or (existing natural processes operate on 8 from across the globe, and more will likely be required). On this project, you’ll have the opportunity to demonstrate your intellectual agility by aiding development of key performance insights and identifying dataflows and techniques to measure their success and will work closely with stakeholders to ensure that data science processes are aligned with mission objectives. This project features the opportunity to interact with a wide range of key stakeholders, including those at senior levels, and has the potential for travel. This is an exciting opportunity for an intellectually curious, energetic data scientist looking for more "hands-on" experience to work on a project with real impact helping our client develop ways to understand and improve performance of activities that support delivery of the mission. Key Responsibilities

Assist with stakeholder education on quantitative capabilities, helping them to understand strengths and weaknesses of different approaches and what problems are suitable and unsuitable for data science.

Identify what data is already available and determine what mission-oriented questions we can answer using that data.

Extract insights from bulk semi-structured data using data analysis techniques.

Consult with internal and external stakeholders on the development, prioritization and implementation of process improvement and impact evaluations tasks.

Develop and implement practical strategies for measuring performance of models and processes, to include development of performance measures, design of actionable methods for collecting and analyzing performance metrics, and implementation of capture and analysis strategies with refinement as needed.

Analyze both quantitative and qualitative information to provide customers with comprehensive insights into organizational strengths and opportunities for growth.

Prepare engaging presentations of analysis through data visualization and analytic narratives

Brief senior-level customers on research plans, activities, findings and recommendations.

This position has no supervisory responsibilities Skills, Knowledge and Expertise

A Bachelor’s degree is required for this position.

Minimum of 5 years' experience in a consulting role in the IC.

Master’s degree in business, social science, or behavioral science but not required for this position.

U.S. Citizenship

Active TS/SCI clearance with Polygraph

Familiarity with industry best practices for software/hardware optimization when processing large data sets, and offers experience in the following required task areas: experience with machine learning, statistical modeling, time-series forecasting, and/or geospatial analytics

Proven ability to analyze data and translate analysis into meaningful insights

Comfortable with standard ETL and data cleansing processes in pandas or similar

Proficiency in one or more programming , preferably including Python

Demonstrated ability to manipulate large data sets into user-friendly formats for stakeholder use

Tenacity to find/hunt down data sources and build contacts across the sponsor organization,

General understanding of statistics, vector mathematics, and probability

Experience developing presentations and providing briefings to non-technical audiences

Excellent oral and written communication skills, as well as data visualization techniques

Proficiency with major data science tools and such as Python, NiFi (a plus), PostgreSQL/SQL, Spark, and Git

Experience working with open-source data sets

Experience working with Cyber data to include examples such as (Shodan, Censys.IO, etc.)

Demonstrated experience with cleaning, managing, optimizing performance with, and processing large volumes of data

Experience working with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure

Experience with Hadoop, Spark, or other parallel storage/computing processes is a plus

Prolonged periods of sitting at a desk and working on a computer.

Routine video conference and/or in-person meetings.

Ability to attend planned meetings within the Washington Metro Area region.