At Wyetech youll be at the center of an awardwinning corporate culture breaking technological barriers and solving realworld problems for our federal government customers. We are committed to hiring the best of the best and in return we offer a worldclass truly unique employee experience that is rare within our industry.
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 nontechnical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantlyshifting 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 domainspecific considerations)
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).
Required Qualifications
TS/SCI with agency appropriate poly
Bachelors Degree with 3 years of relevant experience
Associates degree with 5 years of relevant experience
BachelorsDegree 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). Collegelevel requirement or upperlevel 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
Relevant experience must be in designing/implementing machine learning data science advanced analytical algorithms programming (skill in at least one highlevel 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 Technical Skills
Data Parsing
Tool knowledge needed
Data flow knowledge needed
Python Needed
The Benefits Package
Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20 of each employees 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.
Fulltime 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 LongTerm Disability
Hospital Indemnity Accident and Critical Illness Insurances
Optional Identity Theft and Legal Protection Services
Company Environment & Perks
Employee Referral Bonus Eligibility up to $10000
Mobility Among Wyetechsupported Contracts
Various contract and work locations throughout Maryland Virginia Colorado Texas Utah Alaska Hawaii and OCONUS
Various teambuilding events throughout the year such as: monthly lunches summer company picnic and an annual holiday party.
Employees receive two complementary branded clothing orders annually.
$51.36 $107.53 an hour
Pay Range: $51.36 $107.53 per hour*
Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience knowledge skills and competencies; certifications and geographic location. *Hourly pay rates reflect the prebenefit gross wage amounts.
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 Brittney Wood. at 844WYETECH x727 or We are happy to provide reasonable accommodations to ensure equal access to all candidates.
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