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Sci With Poly Jobs in Virginia (NOW HIRING)

V2X

DevOps Engineer- TS/SCI Clearance

Mclean, VA · On-site

$53.25 - $73/hr

Overview V2X is seeking a DevOps Engineer with an active TS/SCI with Poly clearance who will be responsible for taking a leadership role in refactoring existing data workflows from an on-premises ...

V2X

DevOps Engineer- TS/SCI Clearance

Mclean, VA · On-site

$53.25 - $73/hr

Overview V2X is seeking a DevOps Engineer with an active TS/SCI with Poly clearance who will be responsible for taking a leadership role in refactoring existing data workflows from an on-premises ...

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Sci With Poly information

What is a Sci with Poly?

Sci With Poly jobs typically refer to science-related positions that require or leverage a polytechnic (poly) education. These roles can span various industries, including biotechnology, chemical engineering, environmental science, and laboratory technology. Individuals with a polytechnic background often possess practical, hands-on skills and technical knowledge, making them valuable assets in research, development, and applied science settings. Such jobs may include laboratory technologist, research assistant, quality control specialist, or process technician within scientific companies or research institutions.

What are the key skills and qualifications needed to thrive as a Sci with Poly?

To thrive as a Science Laboratory Technician with a Polytechnic background, you need a solid understanding of laboratory procedures, scientific principles, and typically a diploma or degree in a science-related field from a polytechnic institution. Familiarity with laboratory equipment, safety protocols, and data analysis software like Microsoft Excel or specialized lab management systems is essential. Attention to detail, effective communication, and strong organizational skills help you manage experiments and collaborate with researchers. These competencies ensure the safe, accurate, and efficient operation of laboratory environments, supporting scientific discovery and educational objectives.

What are some common challenges faced by scientists working with polymer materials in research and development?

Scientists specializing in polymer materials often encounter challenges such as optimizing material properties for specific applications, maintaining consistency in synthesis, and troubleshooting unexpected behavior during testing. Collaboration with cross-functional teams, including engineers and product designers, is crucial to translate laboratory findings into scalable solutions. Staying current with evolving analytical techniques and regulatory standards is also key to success in this dynamic field.

What is the difference between Sci With Poly vs Chemist?

AspectSci With PolyChemist
Required CredentialsBachelor's in Chemistry, Polymer Science, or related field; certifications in polymer analysisBachelor's or higher in Chemistry; certifications in chemical analysis
Work EnvironmentLaboratories, manufacturing plants, R&D facilities focused on polymersLaboratories, industrial settings, research institutions in chemistry
Industry UsagePrimarily in polymer and plastics industriesBroader chemical industries including pharmaceuticals, manufacturing, and research

Sci With Poly professionals specialize in polymer science and materials, working mainly in polymer-focused industries. Chemists have a broader scope in chemistry, working across various sectors. While both roles require chemistry knowledge, Sci With Poly emphasizes polymers and materials, whereas Chemists work with a wider range of chemical substances.

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The top searched job categories for Sci With Poly jobs in Virginia are:

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Sci With Poly jobs near you

Data Science - TS/SCI w POLY

Falls Technology

Mclean, VA • On-site

Full-time

Re-posted 11 days ago

Job description

 TS/SCI with POLY REQUIRED


Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements.


Work Requirements

Data Science

  • The Contractor shall work closely with other teams; however, the Sponsor project manager will manage the priorities.
  • The
    Contractor
    shall
    integrate
    with
    Sponsor
    team
    to
    develop
    an
    understanding
    of
    Sponsor
    data structures.
  • The Contractor shall build out schema and data models, as required by the Sponsor.
  • The
    Contractor
    shall
    complete
    the
    Sponsor’s
    systems
    administrator
    security
    course
    (approx.
    8
    hours
    of training).
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Data Science

  • The
    Contractor
    shall
    expand
    the
    Sponsor’s
    Artificial
    Intelligence
    and
    Machine
    Learning
    (AI/ML) architecture and develop an analytics user interface (UI).
  • The Contractor shall bridge research output to operational teams by packing models as reliable service.
  • The Contractor shall create operator-focused dashboards.
  • The
    Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach.
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Required Skills and Demonstrated Experience

The Contractor shall have the following required skills, certifications, and demonstrated experience:


    • Data Science #1


• Demonstrated experience with proficiency in Python.


  • Demonstrated experience with data analytics and transformations.

  • Demonstrated experience with complex graph database queries.

  • Demonstrated experience in cloud compute environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

  • Data Science #2

  • Demonstrated experience in cloud compute environments.

  • Demonstrated experience in containerization concepts.

  • Demonstrated experience in Machine Learning Operations (MLOps).

  • Demonstrated expertise in software engineering, cloud architecture and UI design.

  • Demonstrated experience supporting big data environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

Highly Desired Skills and Demonstrated Experience

Skills and demonstrated experiences that are highly desired but not required to perform the work include:


    • Data Science #1

    • Demonstrated experience with proficiency in SQL

    • Demonstrated experience with Cypher

    • Demonstrated experience with Amazon Web Service (AWS), (Lambda)

    • Demonstrated experience with Docker

    • Data Science #2

    • Demonstrated experience with proficiency in Python and SQL

    • Demonstrated experience with Docker

    • Demonstrated experience with Flask, Gradio, or Streamlit


 TS/SCI with POLY REQUIRED