At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.
Wyetech is seeking a Data Scientist with analytic development skills to support a highly visible cyber sensor and analytic modernization program. The candidate will work with a team to analyze and characterize large data sets, create data visualizations, and identify anomalous/interesting behavior. The successful candidate will have experience with analysis in the cyber domain and discovery operations, and have experience with algorithm design and development.
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.
Telework up to 60% as tasking permits.
Due to federal contract requirements, United States Citizenship and position appropriate security clearance is required. (e.g. Active TS/SCI security clearance with agency appropriate polygraph).

Capabilities

• Produce data visualizations that provide insight into dataset structure and meaning
• 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)
• Incorporate SME input into feature vectors suitable for analytic development and testing
• Translate customer qualitative analysis process and goals into quantitative formulations that are coded into software prototypes
• Develop and implement statistical, machine learning, and heuristic techniques to create descriptive, predictive, and prescriptive analytics
• Develop statistical tests to make data-driven recommendations and decisions
• Develop experiments to collect data or models to simulate data when required data are unavailable
• Develop feature vectors for input into machine learning algorithms
• Identify the most appropriate algorithm for a given dataset and tune input and model parameters
• Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices)

Required Qualifications

• TS/SCI with Agency Appropriate Polygraph
• Bachelor's and Master's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
• Five years of experience analyzing datasets and developing analytics, five years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• An additional two years of experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics can be substituted for a Master's degree.
• A PhD from an accredited college or university in a quantitative discipline can be substituted for three years of experience.

Required Technical Skills

• Data science and machine learning experience
• Experience with DataFrames (Pandas or Spark)
• Experience incorporating SME input into feature vectors
• Ability to produce analysis results and data visualizations that provide insight into dataset structure and meaning

Desired Technical Skills

• PySpark and/or distributed computing
• Experience working in cloud environments (Azure, AWS)

The Benefits Package

• Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds. 

Additional benefits include:
• Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:
• A Choice of Medical Plan Options, some with Health Savings Account (HSA)
• Vision and Dental
• Life and AD&D Benefits
• Short and Long-Term Disability
• Hospital Indemnity, Accident, and Critical Illness Insurances
• Optional Identity Theft and Legal Protection Services

Company Environment & Perks

• Employee Referral Bonus Eligibility up to $10,000 
• Mobility Among Wyetech-supported Contracts 
• Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS
• Various team-building events throughout the year such as: monthly lunches, summer company picnic, and an annual holiday party. 
• Employees receive two complementary branded clothing orders annually.

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, disability, or status as a protected veteran. 
Affirmative Action Statement:Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.
Accommodations:Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact David Schroeder, Jr. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.