Wyetech is a small business founded in June 2007, built on a simple vision that hasn’t changed since day one: hire awesome people, compensate them well, and channel their enthusiasm into making customers happy. That commitment shows up in our benefits, including a best-in-class retirement plan: Wyetech contributes the equivalent of 20% of your salary to your SEP IRA, helping you build real long-term financial security. Our mission is to give employees the best possible environment to thrive while delivering stellar services and solutions for our customers and their missions. We call it engineering happiness: for our customers, and shared by the talented team that makes it happen. Data Scientist Skill Level 3
Job Description
Wyetech is seeking a Data Scientist Skill Level 3 with significant MLOps and Data Science background to support the MT&E team. 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.
The Level 3 Data Scientist shall possess the following capabilities:
- Produce data visualizations that provide insight into dataset structure and meaning
- Work with subject matter 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)
- Oversee the development of individual analytic efforts and guide team in analytic development process
- Guide analytic development toward solutions that can scale to large datasets
- Partner with software engineers and cloud developers to develop production analytics
- Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation
- Lead a team of data scientists in the development of multiple analytic efforts
- Work with customers and SMEs to define analytic requirements and guide the team in formulating analytics that meet requirements
- Guide the transition of prototyped analytics to production system
- Understand emerging machine learning and pattern recognition algorithms and guide a team of data scientists in integrating state-of-the-art algorithms into solutions
- Delegate analysis responsibilities to one or more team members and monitor performance
Required Skills/Qualifications
- Significant MLOps and Data Science background.
- Bachelor's degree or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science).
- A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB.
- 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.
- A Master’s Degree from an accredited college or university in a quantitative discipline can be substituted for two (2) years of experience for a total of eight (8) years of experience required.
- A Doctoral Degree from an accredited college or university in a quantitative discipline can be substituted for four (4) years of experience for a total of six (6) years of experience required.
Clearance Requirements Active TS Clearance with Customer Appropriate Polygraph This position requires an in-scope polygraph within seven (7) years. Due to federal contract requirements, United States Citizenship and position-appropriate security clearance are required.
Benefits
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
- 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.
Salary Range $81.16–$109.91 USD Hourly 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 pre-benefit 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 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates. 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 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.
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