Data Scientist

Location: Springfield, VA (Also available in St. Louis, MO)

Eligibility: Candidate must possess an active TS/SCI clearance and be

willing to obtain a CI Polygraph

Job Description:

The selected candidate will collaborate directly with clients to

understand their data-related challenges and questions. Based on this

understanding, your technical background, and IC domain knowledge, you

will build modern analytic processes, new solutions, scripts and data

modeling content. You will serve in a role that is focused on building

automated processes, designing data science architectures, conducting

analysis, and developing workflows. You will utilize advanced tools for

data examination and identify trends to address complex DoD and IC

challenges.

Key Responsibilities:

- Apply exploratory data analysis (EDA) techniques to extract

insights, patterns, and correlations from complex datasets

- Create processes around large data sets to identify analytical

discoveries

- Create visualizations for those discoveries that are easily

integrated into daily operations.

- Engage with both structured and unstructured datasets in a modeling

and analytics context to develop efficient processes for evaluating

complex data sources and addressing unique intelligence challenges

- Use big data tools to process and interpret diverse datasets,

generating meaningful insights

- Python Scripting

- Lead and contribute to the creation of new solutions, as well as the

enhancement of existing ones

- Collaborate with stakeholders, product owners, and program managers

to break down road map items into actionable tasks, provide time and

resource estimates, propose solutions, and assess risk

- Integrate math, coding, and analytics to derive actionable insights

for decision-makers

- Research and apply optimization frameworks and strategies to inform

both data management and analytical activities

Required Qualifications:

- Active TS/SCI clearance with eligibility for CI Polygraph (we can

sponsor your CI poly if you don't already have one)

- 7 years of experience and a BS degree (substitutions of experience,

education, and certifications/training are allowed and will be

considered)

- Background supporting Intelligence Community operations (either as

an analyst or a data scientist to support -INT related missions)

- Must be able to script at a Senior Level in python.

- Hands-on experience with data mining

- Ability to work with large datasets of structured and unstructured

data with the ability to create processes to identify analytical

discoveries

- Must be able to create visualizations for data discoveries and

provide them in a way that is easily integrated into daily

operations

- Proficiency with commercial off-the-shelf (COTS) statistical tools

such as MapLarge, Tableau, or MATLAB for data visualization and

complex statistical analysis

- Ability to identify opportunities for system enhancements and new

analytic capabilities

- Experience leveraging government-off-the-shelf (GOTS) data

processing and analytics tools to modernize methodologies

- Understanding of and hands-on experience with advanced analytical

methods, and a track record of applying them to meet client needs

- Knowledge of multi-INT and specialized technology research methods

to support operational needs

- Strong communication skills with the ability to clearly explain

technical details in an accessible way

Preferred Qualifications:

- Programming experience with other languages or low/code-no/code

pograms

- HTML5/JavaScript, SQL, Oracle, ArcObjects,ArcModel Builder,

ArcGIS Desktop, ArcGIS Server, ArcSDE, ArcIMS, JEMA, Brewlytics,

GIScience, or Statistical tools

- Experience in programming for web interfaces and geodatabase

development using .NET, Python, C++, or Java

- Prior experience with maintaining or developing databases

- Proficiency in visualizing data through Matrix or Network Analytics,

graphical data tools, and creating operational pictures that support

assessments and intelligence products