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 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. Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Required Qualifications <ul><ul><li>TS/SCI with Agency Appropriate Polygraph</li><li>Bachelor's Degree with 10 years of relevant experience</li><li>Associates degree with 12 years of relevant experience</li><li>Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count</li><li>A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university</li></ul></ul> Required Technical Skills <ul><ul><li>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</li></ul></ul> 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 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 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. Employ some combination (2 or more) of the following skill areas: I. Foundations: (Mathematical, Computational, Statistical) 2. Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility) 3. Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations) Required Qualifications <ul><ul><li>TS/SCI with Agency Appropriate Polygraph</li><li>Bachelor's Degree with 3 years of relevant experience</li><li>Associates degree with 5 years of relevant experience</li><li>Bachelor'sDegree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (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, or life) may be considered if it included a concentration of coursework (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. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count</li><li>A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university</li></ul></ul> Required Technical Skills <ul><ul><li>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</li></ul></ul> 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.

The DS1 will support and contribute to the ever-growing complexity behind the data our customer analytics ingest. The DS-1 will be able to analyze and provide insight in new and existing data sets; these insights will allow the customer to better implement and optimize analytic suites. The customer has plans to expand their analytic capabilities to utilize Au/ML along with graph-based technologies and frameworks. A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows Capabilities <ul><ul><li>Produce data visualizations that provide insight into dataset structure and meaning</li><li>Work with subject matters experts (SMEs) to identify important information in raw data and develop scripts that extract this information from a variety of data formats (e.g., SQL tables, structured metadata, network logs)</li><li>Incorporate SME input into feature vectors suitable for analytic development and testing</li><li>Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes</li><li>Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics</li><li>Develop statistical tests to make data-driven recommendations and decisions</li></ul></ul> Required Qualifications <ul><ul><li>TS/SCI w/client level poly</li><li>Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).</li><li>One (1) year of experience analyzing datasets and developing analytics.</li><li>One (1) year of experience programming with data analysis software such as R, Python, SAS, or MATLAB.</li><li>Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred.</li><li>An additional four (4) years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Bachelor's degree.</li></ul></ul> 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.

Data Scientist Wyetech Jobs

Data Scientist 3 Ccas Accepted
April 30, 2024

Data Scientist 2
April 26, 2024

Data Scientist 3 Ccas Accepted
April 24, 2024

Data Scientist 3
April 20, 2024

Data Scientist 2 Ccas Accepted
April 19, 2024

Data Scientist 3 Ccas Accepted
April 19, 2024

Data Scientist 3
April 8, 2024

Data Scientist 1
April 5, 2024

Data Scientist 1
April 3, 2024

Quick filters

Top companies

Data Scientist Wyetech Jobs

Data Scientist 3 Ccas AcceptedApril 30, 2024

Data Scientist 2April 26, 2024

Data Scientist 3 Ccas AcceptedApril 24, 2024

Data Scientist 3April 20, 2024

Data Scientist 2 Ccas AcceptedApril 19, 2024

Data Scientist 3 Ccas AcceptedApril 19, 2024

Data Scientist 3April 8, 2024

Data Scientist 1April 5, 2024

Data Scientist 1April 3, 2024