Data Science Engineer
Apply NowCompany: MKS2 Technologies
Location: Dunn Loring, VA 22027
Description:
MKS2 Technologies, LLC, an award-winning high growth small business, creates innovative and customer-centric technology solutions in the areas of Cyber Security, Instructional Design and Training, Software Engineering and IT Support Services to improve the security and well-being of our clients. Our commitment to excellence and our "Mission First" orientation has resulted in steady growth and an expanding client base across government agencies. We have employees nationwide and for the past three consecutive years were named one of the fastest growing Veteran-owned companies in the nation. Please take a moment to browse through our website and learn more about what it means to serve with MKS2.
Data Science Engineer - Tysons, VA
Active Top Secret Clearance or above REQUIRED
Salary: $150,000-$175,000 w/ full benefits
Collaborate with data and subject matter experts from Customer and its customer teams to seek, understand, validate, interpret, and correctly use data and business insights
DUTIES
MLOps, Model Engineering, Training on time series data.
After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications.
Develop candidate models that are promoted to active models when their performance meets threshold.
Train, validate and deploy machine learning pipelines
Test, troubleshoot, and enhance customer AI-based applications based on feedback.
Manage individual project deliverables
Identify application performance bottlenecks and implement optimizations
Write application specifications and documentation
Articulate methodologies, experiments, and findings clearly in actionable way.
Work in a fast-paced environment.
This is NOT a data analytics role using Tableau or PowerBI.
This is NOT an ETL & SQL role.
This is NOT a R&D role prototyping at low TRL.
REQUIRED Qualifications:
Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of.
5+ years of Data Science development experience using Python
Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations.
Strong proficiency in numpy & pandas.
Demonstrated skills with Jupyter Notebook or comparable environments
Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking.
Candidates require a TS to start. TS/SCI with Polygraph preferred
PREFERRED Qualifications:
Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields
Strong mathematical background (linear algebra, calculus, probability & statistics)
Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn)
Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
Experience with modern software development tools and practices (Git, pull requests)
Experience analyzing model performance with relevant metrics and optimizing.
Familiarity with AI agent frameworks
Ability to drive a project and work both independently and in a team
Smart, motivated, can do attitude, and seeks to make a difference
Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects.
Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
Data Science Engineer - Tysons, VA
Active Top Secret Clearance or above REQUIRED
Salary: $150,000-$175,000 w/ full benefits
Collaborate with data and subject matter experts from Customer and its customer teams to seek, understand, validate, interpret, and correctly use data and business insights
DUTIES
MLOps, Model Engineering, Training on time series data.
After few weeks training on Customer's AI platform, develop AI-based applications using Customer's platform for operational cloud-deployed and secure lab deployed AI-based applications.
Develop candidate models that are promoted to active models when their performance meets threshold.
Train, validate and deploy machine learning pipelines
Test, troubleshoot, and enhance customer AI-based applications based on feedback.
Manage individual project deliverables
Identify application performance bottlenecks and implement optimizations
Write application specifications and documentation
Articulate methodologies, experiments, and findings clearly in actionable way.
Work in a fast-paced environment.
This is NOT a data analytics role using Tableau or PowerBI.
This is NOT an ETL & SQL role.
This is NOT a R&D role prototyping at low TRL.
REQUIRED Qualifications:
Bachelor's degree in a Science, Technology, Engineering or Mathematics (STEM), or comparable area of study. No experience in lieu of.
5+ years of Data Science development experience using Python
Proficiency in data science, machine learning, and analytics, including statistical data analysis, model and feature evaluations.
Strong proficiency in numpy & pandas.
Demonstrated skills with Jupyter Notebook or comparable environments
Practical experience in solving complex problems in an applied environment, and proficiency in critical thinking.
Candidates require a TS to start. TS/SCI with Polygraph preferred
PREFERRED Qualifications:
Degree in Data Science, Machine Learning, Computer Science, Engineering, Statistics, or equivalent fields
Strong mathematical background (linear algebra, calculus, probability & statistics)
Experience with machine learning model training and analysis through open-source frameworks (Pytorch, Tensorflow, Sklearn)
Experience crafting, conducting, analyzing, and interpreting experiments and investigations.
Experience with modern software development tools and practices (Git, pull requests)
Experience analyzing model performance with relevant metrics and optimizing.
Familiarity with AI agent frameworks
Ability to drive a project and work both independently and in a team
Smart, motivated, can do attitude, and seeks to make a difference
Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects.
Diversity creates a healthier atmosphere: MKS2 Technologies is proud to be an Equal Employment Opportunity / Affirmative Action employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.