Parsons
DataScientist(TS/SCIw/Poly)
Neural analysis suggests this role is
optimal for Senior candidates.
“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.
Problem solver; Determine a solution
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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