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Weekend Interdisciplinary Science Jobs (NOW HIRING)

Knowmadics

Data Scientist

Wichita, KS · On-site

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and ... Some weekend work may be required based on project deadlines or operational needs. * Estimated ...

Knowmadics

Data Scientist

Wichita, KS · On-site

Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and ... Some weekend work may be required based on project deadlines or operational needs. * Estimated ...

Main Line Health

Clinical Laboratory Scientist

Wynnewood, PA · On-site

$31.10 - $48.18/hr

Work with the latest technology and a top-notch interdisciplinary team to help support patients and ... Night Shift- 40 hours - 11p-730am or 1030p - 7a - Weekends per business need- currently 1 out of 4 ...

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As of May 31, 2026, the average yearly pay for weekend interdisciplinary science in the United States is $87,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $99,500.00 per year, depending on experience, location, and employer.
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Weekend Interdisciplinary Science jobs near you
Data Scientist

Data Scientist

Knowmadics

Wichita, KS • On-site

Full-time

Posted 20 days ago

Job description

Candidate should live within driving distance of the following areas: Wichita, KS; Lawton OK; or Round Rock, TX
Job Purpose/Summary
Work with our team of engineers, scientists and human factors professionals to develop machine learning and other algorithm data capabilities for cybersecurity, space, and telecommunications. This individual contributor role will involve hands-on work collecting data, developing solutions to real-world problems using machine learning. Developed solutions are actively being productionized to support ongoing cybersecurity initiatives and other crucial infrastructure and security needs.
Duties and Responsibilities
  • Collaboratively develop data collection processes designing experiments to ensure quality and usefulness of data
  • Develop and evaluate machine learning solutions to interdisciplinary problems in cybersecurity and telecommunications, working with structured (time-series, tabular) and unstructured (text, 3D) data
  • Work with human factors specialists, and data/full stack engineers to define system requirements, review developed code, and support translating statistical concepts to coworkers
  • Support documentation of analysis results for semi-technical stakeholders
  • Occasionally support technical interactions like collaboration, including defining technical requirements for external data collections, and reviewing technical work

Qualifications
  • Minimum
    • Graduate-level education (Master's or PhD) in a quantitative field such as natural sciences, mathematics, statistics, economics, psychology, or a related discipline is preferred. Exceptional candidates with a bachelor's degree and substantial applied machine learning or data science experience may also be considered.
    • 2+ years professional experience with an open-source data science stack (e.g., pandas, numpy, pytorch, keras, tensorflow, pymc3, etc.)
    • 2+ years professional experience working with real-world, complex datasets
    • Experience communicating technical results to semi-technical audience
  • Preferred
    • Exposure to product-driven machine learning organization with deployed customer facing capabilities
    • Exposure to big data environment including tools for large-scale data storage and sensor-based data collection workflows
    • Experience with RF/Telecommunications physics, cybersecurity, or space operations
    • Experience with UAS operations, with Part 107 Remote Pilot Certification preferred

Working conditions
  • Employees may be called upon to participate in in-person meetings, trainings, or company functions at Knowmadics offices or other designated locations. Travel in support of business operations may also be required, and employees are expected to comply with these obligations as part of their position.
  • Some weekend work may be required based on project deadlines or operational needs.
  • Estimated Travel: 30-40%

Physical requirements
May include sitting or standing for extended periods, working with computers and technical equipment, and occasionally lifting or moving materials or tools.
Direct reports
None

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