Jobs › Companies › Radiance Technologies › Research Data Scientist

Sobre este puesto de Research Data Scientist en Radiance Technologies

Radiance Technologies · Presencial · Ruston, LA

Radiance Technologies is searching for a talented Research Data Scientist to join the Advanced Cyber Technology Operation in its Scientific and Technical Intelligence Group. This individual will provide expertise in data analytics and algorithm development supporting the integration and analysis of diverse data sources and will apply machine learning, data mining, and statistical algorithms to provide insights and advance the needs of various stakeholders. This position will particularly focus on analysis, curation, and exploitation of small and large data sets in collaboration with subject-matter experts. Application, research, and development of the state of the art under strict project timelines requires a research-oriented individual capable of independent ideation and effective task prioritization. Flexibility and willingness to transition between applications is critical as our mission calls for a wide variety of domains including embedded systems, hardware and software security, remote sensing, modeling and simulation, and scientific computation (biology, thermodynamics, electromagnetics, etc.). Responsibilities will include documentation of technical progress, effective communication within a team, and presentation of results and progress.

 

Required Skills:

  • Master’s Degree in Computer Science, Mathematics, Statistics, Physics, or related area
  • Minimum GPA of 3.5 (GPA must be shown on resume to be considered)
  • US citizenship with the ability to obtain a security clearance
  • Strong programming background in Python
  • Strong knowledge of statistics
  • Familiarity with Artificial Neural Networks (ANNs) including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Autoencoders, and Transformers
  • Experience in applying core Machine Learning methodologies: Regression, Classification, Clustering, Decision Trees, Dimensionality Reduction, Neural Networks & Deep Learning, Feature Engineering

Desired Qualifications:

  • Possesses or pursuing Ph.D. in Computer Science, Mathematics, Statistics, Physics, or related area
  • Publications/presentations demonstrating strong research experience
  • Experience in an applied quantitative, scientific domain
  • Experience with PyTorch, Pandas, Seaborn, SciPy, or respective similar libraries
  • Experience with Git and modern DevSecOps practices
  • Experience with modern MLOps frameworks such as ClearML
  • Strong programming background in C++
  • Experience with numerical and computational methods
  • Knowledge of differential equations
  • Knowledge of algorithm analysis and computing theory
  • Knowledge of graph theory

 

Clearance:

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information.

Radiance Technologies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

¿Listo para postularte en Radiance Technologies?
Postúlate en Radiance Technologies

Sobre Radiance Technologies

Employee-Ownership Radiance is a proud employee-owned company! Employee-ownership benefits both our customers and workforce, and ensures that Radiance doesn’t have to answer to stockholders or be driven by quarterly earnings reports. Thus, Radiance will always prioritize enhancing our customer’s mission over expanding our bottom line. We are singularly focused on providing our customers with game-changing solutions to their most challenging requirements. This is only possible because employee-ownership attracts the highest quality employees, empowers them to identify capability enhancements, and provides them with the freedom to take risks to deliver high-quality solutions. Employee-ownershi

Ver todos los empleos en Radiance Technologies →

Empleos similares

Radiance Technologies
Machine Learning Scientist
Radiance Technologies
⚡ Postúlate pronto Ruston, LA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1sem
SE
Staff Applied ML Scientist
SentiLink
⚡ Postúlate pronto United States · restringido por ubicación $220,000–$220,000
● Nuevo 👁 Visto ✓ Postulado hace 1h
SE
Senior Applied ML Scientist
SentiLink
⚡ Postúlate pronto United States · restringido por ubicación $200,000–$200,000
● Nuevo 👁 Visto ✓ Postulado hace 1h
SE
Senior Data Scientist, Full Stack
SentiLink
⚡ Postúlate pronto United States · restringido por ubicación $200,000–$200,000
● Nuevo 👁 Visto ✓ Postulado hace 1h
Rad AI
Staff ML Research Scientist
Rad AI
⚡ Postúlate pronto San Francisco - Onsite Híbrido $190,000–$265,000
● Nuevo 👁 Visto ✓ Postulado hace 1h
Pika
Research Scientist, Data
Pika
⚡ Postúlate pronto US remote · restringido por ubicación $185,000–$400,000
● Nuevo 👁 Visto ✓ Postulado hace 1h
Outtake
Founding Applied Data Scientist
Outtake
⚡ Postúlate pronto New York City Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1h
NA
Sr. ML Scientist/Engineer, AI Platform
Nightfall AI
⚡ Postúlate pronto Bengaluru Híbrido
● Nuevo 👁 Visto ✓ Postulado hace 1h
EL
Research Engineer / Research Scientist, Data Quality & Evaluations
Epsilon Labs, Inc.
⚡ Postúlate pronto San Francisco, CA Presencial
● Nuevo 👁 Visto ✓ Postulado hace 1h

Regístrate para recibir sugerencias adaptadas a los empleos que abres y las búsquedas que guardas.

Más empleos en Radiance Technologies

Ver todos los empleos en Radiance Technologies →

Postúlate ahora
🤖

Un momento — para

JobsRadar se creó para personas reales que están pasando un mal momento en su búsqueda de empleo — no para solicitudes automatizadas. Estás haciendo clic demasiado rápido y ahora estás bloqueado temporalmente.

Vuelve más tarde. Si de verdad estás buscando empleo, cuentas con nosotros — solo compórtate como una persona.

Catch your next role the second it’s posted.

Create a free account and we’ll watch the boards for you — the instant a job matches your search, it lands in your inbox or Telegram. No digging, no refreshing.

Create free account

Free forever · takes 30 seconds · already have one?

Toma ventaja en tu búsqueda de empleo.

Únete a nuestro canal de Telegram para lo que te ayuda a conseguir el puesto — referencias salariales, el pulso semanal del mercado y avisos de nuevas funciones. Sin spam, solo señal.

Únete al canal — es gratis