Yesterday
Top Secret/SCI
Mid Level Career (5+ yrs experience)
No Traveling
IT - Data Science
Tysons, VA (On-Site/Office)
This position will be at Customer site in Tyson's, VA.
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.
• 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.
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.
Candidates must have extreme fluency in numpy and pandas
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.
• 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.
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.
Candidates must have extreme fluency in numpy and pandas
group id: 90784366
