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Data Scientist, Principal (DCO) Senior

Gormat

Annapolis, Maryland • Today

Full-time

USD 195,000.00 - 210,000.00 per year

Job Details

Skills

Management
Statistics
Collaboration
Analytical Skill
Documentation
Configuration Management
Research
Data Science
Docker
Kubernetes
Workflow
Machine Learning (ML)
Statistical Models
Evaluation
R
Python
SQL
Amazon Web Services
Cisco
Cisco Certifications
STIG
IAVA
Big Data
Linux
Ubuntu
CentOS
Red Hat Enterprise Linux
Microsoft Windows
Jupyter
Network Analysis
Systems Engineering

Summary

Overview
Possesses and applies a comprehensive knowledge across key tasks and high impact assignments. Plans and leads major technology assignments. Evaluates performance results and recommends major changes affecting short-term project growth and success. Functions as a technical expert across multiple project assignments. May supervise others.

What You'll Be Doing:

Perform statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and reusable 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, and periodically re-evaluate and refine machine learning models being used in production.
Curate and collect 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 refine analysis as needed.
Effectively communicate results and ideas to key decision makers, analysts, and other stakeholders and provide information as appropriate.
Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets.
Research latest data science tradecraft and technology.

What Required Skills You'll Bring:

Proficient in Python
Experience with Docker and Kubernetes
Experience with end to end workflows and projects
Three or more years of Defensive Cyber Operations experience
Three or more years of Machine Learning techniques and statistical model evaluation

What Desired Skills You'll Bring:

Demonstrated expertise with R or Python and SQL to manipulate data and draw insights from large and small data sets
Exposure to AWS (Amazon Web Services), Cisco CCNA, STIGs IAVA, Big Data Platform (BDP)
Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
A problem solver who can get in, be given a project, and use engineering skills to determine a solution
Jupyter Notebooks, Network Analysis Tools

Qualifications
Degree from an accredited college or university in System Engineering or related discipline and one of the following:

10 or more years of experience with a Master's degree
12 or more years of experience with a Bachelor's degree
16 or more years of experience with an Associate's Degree or High School Diploma

TS/SCI with polygraph is required.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91091699
Position Id: fb6c2a7b2dbb91d8f69c86ad9062d69f
Posted 30+ days ago

Fitment

Dice Job Match Score™

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Job Details

Skills

Management
Statistics
Collaboration
Analytical Skill
Documentation
Configuration Management
Research
Data Science
Docker
Kubernetes
Workflow
Machine Learning (ML)
Statistical Models
Evaluation
R
Python
SQL
Amazon Web Services
Cisco
Cisco Certifications
STIG
IAVA
Big Data
Linux
Ubuntu
CentOS
Red Hat Enterprise Linux
Microsoft Windows
Jupyter
Network Analysis
Systems Engineering

Summary

Perform statistics, machine learning, and analytic approaches to answer key intelligence questions, producing results and reusable 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, and periodically re-evaluate and refine machine learning models being used in production.
Curate and collect 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 refine analysis as needed.
Effectively communicate results and ideas to key decision makers, analysts, and other stakeholders and provide information as appropriate.
Perform documentation of all processes, models, and activities by developing, documenting, and implementing a configuration management plan for data sets.
Research latest data science tradecraft and technology.

What Required Skills You'll Bring:

Proficient in Python
Experience with Docker and Kubernetes
Experience with end to end workflows and projects
Three or more years of Defensive Cyber Operations experience
Three or more years of Machine Learning techniques and statistical model evaluation

What Desired Skills You'll Bring:

Demonstrated expertise with R or Python and SQL to manipulate data and draw insights from large and small data sets
Exposure to AWS (Amazon Web Services), Cisco CCNA, STIGs IAVA, Big Data Platform (BDP)
Strong background and skills in Linux Ubuntu CentOS RHEL, Windows, and virtual environments
A problem solver who can get in, be given a project, and use engineering skills to determine a solution
Jupyter Notebooks, Network Analysis Tools

Qualifications
Degree from an accredited college or university in System Engineering or related discipline and one of the following:

10 or more years of experience with a Master's degree
12 or more years of experience with a Bachelor's degree
16 or more years of experience with an Associate's Degree or High School Diploma

TS/SCI with polygraph is required.

Dice Id: 91091699
Position Id: fb6c2a7b2dbb91d8f69c86ad9062d69f
Posted 30+ days ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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