JOB TITLE: Data Scientist
RATE RANGE: $85-100/hr W2
LOCATION: Falls Church/Tysons Corner, Virginia (On-Site)
DURATION: Initial 1-Year Contract with extension and/or conversion to FTE
JOB# 14795489

REQUIRED SKILLS

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
Excellent English communication and collaboration skills, particularly in multidisciplinary teams with data scientists, software engineers, product owners, & solution architects.

JOB DESCRIPTION:

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.

Equal Opportunity Employer, including Veterans and Individuals with Disabilities

* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions.

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