5563 Data Migration Specialist Library jobs in Arlington,VA

Data Analyst

Cherokee Federal

Arlington, VA 22201

This position requires an active TS/Sensitive Compartmental Information (SCI) clearance.
A minimum of a bachelor's degree from an accredited college or university
Graduate Degree is desired
A minimum of 5 – 10 years' experience with the following capabilities:
Analytical & Problem-Solving skills
Planning/organizational skills to meet deadlines w/ability to manage conflicting priorities
Possess professional communication skills w/the ability to articulate complex ideas to a variety of audiences w/clarity and succinctness
Professional writing skills to craft concise papers read by a variety audiences
Exceptional presentation and facilitation skills
Professional interpersonal communication skills in order to establish credibility and relationships w/strategic-level stakeholders
Adept IT skills w/ability to adapt/infuse new systems/technology under self-direction
SharePoint development/coding
Management of custom permission/document library sharing
Managing large datasets and file structures
Basic understanding of relational databases
Knowledge of DoD Counterdrug community and related data, information, and knowledge programs/efforts
Experience as Knowledge Manager in DoD Counterdrug community
Knowledge of DoD Counterdrug strategies, authorities, doctrine, and priorities
Experience Microsoft 365
Knowledge/experience w/Command and Control of the Information Environment (C2IE)
Must have an active TS/SCI clearance.
Must pass pre-employment qualifications of Cherokee Federal
Must be a US Citizen

Kettler

Mc Lean, VA 22101

Strategic Technology Institute Inc (STi)

Washington, DC 20032

Apex Focus Group

Mc Lean, VA 22107

KPMG

Washington, DC 20001

A minimum of five years of technical data science experience
U.S. Federal government consulting experience preferred
Bachelor's degree from an accredited college/university
Experience applying artificial intelligence techniques to achieve business goals
Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / QlikView
Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
Experience leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
Experience building AI pipelines, ML development lifecycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)
Ability to travel as required to support firm engagements
Applicant must possess a U.S. Government Secret clearance