Jobs › Companies › Radiance Technologies › Research Data Scientist

Über diese Research Data Scientist Stelle bei Radiance Technologies

Radiance Technologies · Vor Ort · 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.

Bereit, sich bei Radiance Technologies zu bewerben?
Bei Radiance Technologies bewerben

Über 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

Alle Jobs bei Radiance Technologies ansehen →

Ähnliche Jobs

Radiance Technologies
Machine Learning Scientist
Radiance Technologies
⚡ Früh bewerben Ruston, LA Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 1 Wo.
Vanta
Senior Data Scientist
Vanta
⚡ Früh bewerben Remote U.S. · standortgebunden $172,000–$202,000
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
Ramp
Applied Scientist Intern
Ramp
⚡ Früh bewerben New York, NY (HQ) Hybrid $12,500–$12,500
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
Ramp
Data Scientist, Finance
Ramp
⚡ Früh bewerben New York, NY (HQ) Hybrid $137,120–$297,330
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
Ramp
Data Scientist
Ramp
⚡ Früh bewerben New York, NY (HQ) Hybrid $137,120–$297,330
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
relationrx
Senior Data Scientist (Single Cell)
relationrx
⚡ Früh bewerben London Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
relationrx
Machine Learning Scientist, Generative Modelling
relationrx
⚡ Früh bewerben London Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
relationrx
Senior Machine Learning Scientist (Generative Modelling)
relationrx
⚡ Früh bewerben London Vor Ort
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.
Oden Technologies
Forward Deployed Data Scientist
Oden Technologies
⚡ Früh bewerben Remote · standortgebunden $95,000–$155,000
● Neu 👁 Gesehen ✓ Beworben vor 3 Std.

Registrieren für Vorschläge, die auf die von Ihnen geöffneten Jobs und gespeicherten Suchen zugeschnitten sind.

Mehr Jobs bei Radiance Technologies

Alle Jobs bei Radiance Technologies ansehen →

Jetzt bewerben
🤖

Moment — langsam

JobsRadar wurde für echte Menschen gebaut, die eine schwere Zeit bei der Jobsuche haben — nicht für automatisierte Anfragen. Sie klicken viel zu schnell und sind jetzt vorübergehend blockiert.

Kommen Sie später wieder. Wenn Sie wirklich auf Jobsuche sind, stehen wir hinter Ihnen — verhalten Sie sich einfach wie ein Mensch.

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?

Verschaffe dir einen Vorsprung bei der Jobsuche.

Tritt unserem Telegram-Kanal bei für das, was dir hilft, die Stelle zu bekommen — Gehaltsbenchmarks, den wöchentlichen Marktpuls und neue Feature-Drops. Kein Spam, nur Signal.

Dem Kanal beitreten — kostenlos