Data ScientistApplications Closed

Dr. Josh Fiechter, Brandon (Brad) Minnery

Dayton, OH
Apply by Sep 26, 2025

Application deadline

Sep 26, 2025

Job

Job location

Dr. Josh Fiechter, Brandon (Brad) Minnery

Geocoding

Dayton, OH

Geocoding in progress.

Source: legacy

Quick Information

Application Deadline

Sep 26, 2025

Start Date

Flexible

Education Required

See description

Experience Level

Not specified

Job

Job location

Dr. Josh Fiechter, Brandon (Brad) Minnery

Geocoding

Dayton, OH

Geocoding in progress.

Source: legacy

Map

Job Description

Kairos Research is seeking a full-time Cognitive Data Scientist to help execute and grow our expanding portfolio of government-sponsored research in the human sciences. The Cognitive Data Scientist will play a major role in supporting our human performance data modeling and data analytics efforts with the Air Force Research Laboratory, as well as other projects that involve extracting insights from a wide variety of physiological and cognitive datasets (ranging from wearable sensors data to cognitive and behavioral performance data). The ideal candidate is a highly creative, self-motivated individual who possesses a deep understanding of leading-edge techniques in data science, statistical modeling, and/or machine learning. The candidate should also possess a strong publication record and a willingness and ability to seek independent research funding. Additionally, because Kairos is a small company with a highly collaborative work culture, we especially seek candidates who are outgoing and enjoy interacting with their colleagues and with our government sponsors.

Requirements

  • REQUIRED: 1. US citizenship or green card. 2. PhD in Cognitive Science
  • Computer Science
  • Engineering
  • Psychology
  • Neuroscience
  • Social-Behavioral Sciences
  • Human Factors
  • or related discipline (the specific field of study is less important than the candidate’s experience and skills). 3. Experience with advanced regression techniques
  • including hierarchical models
  • nonlinear models
  • multivariate (i.e.
  • multiple outcomes) models
  • mixture models
  • and ensemble models—all in the context of a variety of outcome types (e.g.
  • binary choices
  • Likert ratings
  • response times
  • etc.). 4. 3+ years research experience (includes postdoctoral research). 5. Excellent written and oral presentation skills. 6. A highly collaborative mindset. PREFERRED: 1. Familiarity and experience with methods for analyzing noisy
  • high-dimensional data
  • including various dimensionality reduction methods (PCA
  • t-SNE
  • etc.). 2. Familiarity with contemporary machine learning techniques
  • including deep neural networks
  • especially as applied to natural language processing. 3. Experience leading and/or contributing substantially to successful research proposals (need not be defense-related
  • could include NSF
  • NIH
  • etc.).