Parsons

DataScientist(TS/SCIw/Poly)

$112–196k Fort George G. Meade, Maryland, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Scientist (TS/SCI w/ Poly) at Parsons. Skills: Data Science, Machine Learning, Cyber Operations, Data Engineering. Perform statistics. Utilize machine learning”

What You'll Achieve.

Provide real value to Intelligence Analysts

Industry & Context.

Problems you'll solve

Problem solver; Determine a solution

Eligibility Requirements

Active TS/SCI w/ polygraph

What They're Looking For.

Must Have

Active TS/SCI w/ polygraph, Bachelor's degree, 8 years of experience, Proficient in Python, Experience with Docker, Experience with Kubernetes, Experience with end-to-end workflows, 3+ years Defensive Cyber Operations, 3+ years Machine Learning techniques, 3+ years statistical model evaluation

Nice to Have

Master's degree, 4 years of experience, Expertise with R, Expertise with SQL, Exposure to AWS, Exposure to Cisco, Exposure to STIGs/IAVA, Big Data Platform background, Skills in Linux, Skills in Windows, Skills in Virtual environments, Problem solver, Jupyter Notebooks proficiency, Network Analysis Tools proficiency

What You'll Do.

Utilize machine learning

Utilize analytic approaches

Answer intelligence questions

Produce re-usable products

Apply machine learning techniques

Identify data features

Transform data features

Create anomaly detection systems

Automate process steps

Evaluate statistical models

Determine analysis validity

Implement models into production

Re-evaluate machine learning models

Refine machine learning models

Load data into data stores

Monitor model performance

Analyze model performance

Monitor data accuracy

Analyze data accuracy

Interpret analytic results

Perform documentation

Develop configuration management plan

Implement configuration management plan

Research data science tradecraft

Research data science technology

How You'll Work.

Team & Collaboration

Collaborating with headquarters; Collaborating with customers; Collaborating with software developers; Collaborate with Data Scientists; Work with analysts; Communicate to decision makers; Communicate to analysts; Communicate to stakeholders

Communication Scope

Communicate results; Communicate ideas

Full Job Description

In a world of possibilities, pursue one with endless opportunities. Imagine Next! At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible. _**Job Description:**_ Parsons is seeking an experienced Data Scientist to provide embedded Defensive Cyber operations support, capability integration, and rapid prototyping in support of USCYBERCOM. In this role you will be responsible for collaborating with headquarters and local customers to develop analytic capabilities. You’ll be a critical member on a small team, responsible for bringing your high-level software engineering skills to bear on a critical national security mission. **What You 'll Be Doing:** * Perform/utilize statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Intelligence Analysts. * Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of a process. * Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production. * Curate and collect the data from a variety of traditional and non-traditional sources: extract data from sources, transform and integrate data in line with existing data, and load data into data stores for access by others. * Collaborate with Data Scientists to develop processes and tools to monitor and analyze model performance and data accuracy. * Work with analysts to interpret analytic results and refin

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