Wyetech Careers

Eventually to be located at FBI HQ 3-4 days per week

Applying DS techniques to partner agency data with law enforcement authorities

Python, Java, C++ (and/or)

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms,

programming (skill in at least one high-level language (e.g., Python)), statistical analysis (e.g. variability, sampling error,

inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data

mining, data modeling and assessment, artificial intelligence, and/or software engineering. Experience in more than one area is

strongly preferred.

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 3 years of relevant experience
• An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence) College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

DS team supporting X324 - automating workflows, data manipulation and vizualization

Python and Jupyter Notebooks experience

Capabilities

• Employ some combination (2 or more) of the following areas: 1. Foundations (Mathematical, Computational, Statistical), 2. Data Processing (Data management and curation, data description and visualization, workflow and reproductibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of
• the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures,
• data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Currently listed as DS, working on changing to CoCS3

Light CNO developer

Previous CNO tool dev experience

Former EA who can program

C, C++, Python

Capabilities

• Employ some combination (2 or more) of the following areas: (1. Foundations (Mathematical, Computational, Statistical) 2. Data Processing (Data management and curation, data description and visualization, workflow and reproductibility) 3. Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations) )

• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

• Translate practical mission needs and analytic questions related to large datasets into technical
• requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence)
• College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

This Data Scientist position is part of the TechSIGINT Revitilazation effort and requires compiling various data sources via computer scripting, statistical analysis, data modeling, etc. This position is forward deployed working with CNO. Additionally, an individual should be familiar on aspects of signals collection, to include ELINT and PROFORMA data/collection.

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience.
• An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position

• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science
• A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence)
• College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorthms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproductibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Enlighten is looking for an experienced Data Scientist to join our team. The Data Scientist will establish and implement mathematical, problem-solving, and coding skills to manage a wide variety of data and extract valuable insights. Data will involve structured and unstructured data from information advantage activities in support of multi-domain operations. Work is performed in a hybrid role with some on-site customer support.

Capabilities

• The data scientist will utilize their expertise in machine learning, statistical data analytics, and predictive analytics to help create and implement data solutions and analytics for diverse Department of Defense (DoD) data sets
• Responsible for the creation of innovative methodologies for extracting key parameters from structured and unstructured data coming from various sensors
• Capable of applying the latest technologies in machine learning, data mining, and predictive analytics to correlate disparate datasets and events, and derive value
• Experience in data mining, natural language processing, and sentiment analysis of social media datasets
• Performs project assignments characterized as highly unstructured and complex, having little definition or clarity
• Systematically design analytical approaches to organizing research into segments and coordinating input from other sources such as subject matter experts from the problem's substantive area
• Defines the nature of the problem or clarifies issues through extensive coordination, research, and data collection
• Renders expert judgment concerning the credibility, responsiveness to directives/objectives, and soundness of models and other analytical techniques
• Prepares reports and briefings that summarize results derived from documentation, assumptions, facts, and approaches
• Demonstrated ability to work well independently with little input, and as a part of a team
• Other duties as assigned
• Work a hybrid schedule with the local Enlighten team members

• A current Secret level U.S. Government clearance is required and therefore all candidates must be a U.S. Citizen. Can also consider candidates with a TS clearance as well.
• 5 years of Data Science or similar experience with Bachelors in related field; OR 3 years relevant experience with Masters in related field; OR High School Diploma or equivalent and 9 years relevant experience.
• Strong familiarity with machine learning, data mining, dimensionality reduction, and related analytics methods (e.g., clustering, sequences, networks, time series, deep learning, regression analysis, time series, probabilistic models, supervised classification and unsupervised learning, statistical analytics, etc.). 
• Experience with mathematical programming languages such as Python and R and their data science libraries. 
• Experience with using business intelligence tools (e.g. Jupyter, Tableau, Amazon Sagemaker)
• Familiar with scalable distributed data processing, management, and visualization tools.
• Strong mathematical background (linear algebra, calculus, probability and statistics).
• Must be able to work in a hybrid role with some on-site customer interaction. 

• Experience with large scale machine learning model generation
• Experience with DoD data types and current DoD Data Strategies

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applicationspecific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organimtion, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

Capabilities

• Foundations (Mathematical, Computational, Statistical)
• Data Processing (Data management and curation, data description and visualization, workflow and reproductibility)
• Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets.
• Make and communicate principled conclusions from data using elements of mathematics, statistics,
• computer science, and application specific knowledge
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge

• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data

• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience. An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• TSR focused Data Science requirement – prefer knowledge of working with Big Data, dataflows, ML/AI familiarity, analytics in GME and Jupyter notebooks and Spark

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applicationspecific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organimtion, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

Capabilities

• Foundations (Mathematical, Computational, Statistical)
• Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
• Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting agency collection, processing, storage and analytic capabilities and limitations

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• DS position for metrics and dashboards in X421 - Python and bash scripting to run and update current scripts
• ELK experience
• understanding of customer databases for API calls
• Ghostmachine
• Splunk and linux familiarity
• nifi is a nice to have

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applicationspecific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organimtion, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

Capabilities

• Foundations (Mathematical, Computational, Statistical)
• Data Processing (Data management and curation, data description and visualization, workflow and reproductibility)
• Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 10 years of relevant experience. An Associate’s degree plus 12 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

• Leveraging data in MDRs focused on data integrity, value assessment, and assessing data size and types. Working with GHOSTMACHINE analytics

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and applicationspecific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organimtion, cleanliness, and structure that account for the unique features and limitations inherent in Agency data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting Agency collection, processing, storage and analytic capabilities and limitations.

Capabilities

• Foundations (Mathematical, Computational, Statistical)
• Data Processing (Data management and curation, data description and visualization, workflow and reproducibility)
• Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations)
• Devise strategies for extracting meaning and value from large datasets
• Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge
• Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to NSA/CSS data holdings
• Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data
• Effectively communicate complex technical information to non-technical audiences
• Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.

• TS/SCI with Agency Appropriate Polygraph
• A Bachelor’s degree and 3 years of relevant experience. An Associate’s degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position
• Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorthms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper level math courses designated as elementary or basic do not count
• A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.

• DS position for metrics and dashboards in X421 - Python and bash scripting to run and update current scripts
• ELK experience
• understanding of customer databases for API calls
• Ghostmachine
• Splunk and linux familiarity
• nifi is a nice to have

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.