Today
Secret
Unspecified
Polygraph
IT - Data Science
Falls Church, VA (On-Site/Office)
TITLE: Data Science Engineer with ACTIVE Secret security clearance (US Citizenship REQUIRED)
RATE RANGE: $70/hr - $88/hr W2 **depends on experience and benefits chosen**
CLEARANCE: Active Secret security clearance required and must be able to obtain a Top Secret/SCI clearance w/Poly
LOCATION: Tysons, VA 22043 (no relocation package)
***No C2C, we can NOT work with outside agencies/vendors, and we can NOT do 1099-US CITIZENSHIP IS REQUIRED***
RESPONSIBILTIES
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.
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.
REQUIRED QUALIFICATIONS:
Candidates must have extreme fluency in numpy and pandas
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.
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.
EDUCATION REQUIRED:
Bachelor Degree Required
ADDITIONAL JOB DETAILS:
Multi-part interview process. Candidates who pass the 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.
If you would like to interview for this position, please send an updated resume to Dee Smith, d.smith@geologics.com
Dee Smith
Sr. Technical Recruiter
(703) 891-6149
d.smith@geologics.com
*Rates listed are not a guarantee of salary/rate. Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level
GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran
#CJ
RATE RANGE: $70/hr - $88/hr W2 **depends on experience and benefits chosen**
CLEARANCE: Active Secret security clearance required and must be able to obtain a Top Secret/SCI clearance w/Poly
LOCATION: Tysons, VA 22043 (no relocation package)
***No C2C, we can NOT work with outside agencies/vendors, and we can NOT do 1099-US CITIZENSHIP IS REQUIRED***
RESPONSIBILTIES
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.
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.
REQUIRED QUALIFICATIONS:
Candidates must have extreme fluency in numpy and pandas
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.
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.
EDUCATION REQUIRED:
Bachelor Degree Required
ADDITIONAL JOB DETAILS:
Multi-part interview process. Candidates who pass the 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.
If you would like to interview for this position, please send an updated resume to Dee Smith, d.smith@geologics.com
Dee Smith
Sr. Technical Recruiter
(703) 891-6149
d.smith@geologics.com
*Rates listed are not a guarantee of salary/rate. Rate offered at time of hire will depend on many factors including education, experience, interview results and skill level
GeoLogics is an Equal Opportunity/Affirmative Action Employer that is committed to hiring a diverse and talented workforce. EOE/Disability/Veteran
#CJ
group id: geotx
