Today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
No Traveling
CI Polygraph
IT - Data Science
Tysons, VA (On-Site/Office)
This position will be at Customer site in Tyson's, VA
Must have a TS/SCI Clearance CI Poly preference
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
• 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.
Candidates must have extreme fluency in numpy and pandas
• 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.
*****PREFERRED Qualifications: • 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.
******* *******Multi-part interview process. Candidates who pass the client python Jupyter notebook screen & interview will then proceed to the Customer python screening, and the Customer ML interview.
May not use AI LLMs during code screens.
Must have a TS/SCI Clearance CI Poly preference
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
• 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.
Candidates must have extreme fluency in numpy and pandas
• 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.
*****PREFERRED Qualifications: • 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.
******* *******Multi-part interview process. Candidates who pass the client python Jupyter notebook screen & interview will then proceed to the Customer python screening, and the Customer ML interview.
May not use AI LLMs during code screens.
group id: 90784366
