Technical Leader for Insight Generation through Data Analysis
Posted on 7/19/2023
INACTIVE
Software company for open source software solutions
Company Overview
Kitware's mission is to advance science & technology, empower global innovation and address the world’s challenges. The company specializes in the R&D of open-source software in the fields of computer vision, medical imaging, visualization, and technical software development.
AI & Machine Learning
Data & Analytics
Company Stage
Seed
Total Funding
$2.6M
Founded
1998
Headquarters
Clifton Park, New York
Growth & Insights
Headcount
6 month growth
↑ 1%1 year growth
↑ 4%2 year growth
↓ -3%Locations
Remote in USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Data Science
Git
Data Structures & Algorithms
Data Analysis
CategoriesNew
Data & Analytics
Requirements
- Ph.D. in computer science, engineering, or a related field that has an emphasis on scientific or engineering data analysis research application
- Proven track record of identifying funding sources, leading successful proposals and SOWs, and securing government and/or commercial contracts
- Concrete experience implementing scientific or engineering data analysis solutions for energy, chemistry, materials, or equivalent area
- Demonstrated publication history in one of the areas above
- Proven project management and leadership track record through proposal ideation, design, development, and release
- Excellent communication and writing skills
Responsibilities
- Grow a new research initiative at Kitware
- Develop and write proposals to government funding agencies such as DOE, DOD, and NSF
- Lead computer scientists, engineers, and developers in data analysis applications
- Initiate, build, and maintain business and research relationships with commercial customers and external academic, industry, and government research collaborators
- Interface with commercial customers, prospects, and research partners
Desired Qualifications
- Expertise in data science (statistics, scientific computing programming in Python or C++ with an associated understanding of numerical methods and data structures, machine learning, and data visualization) applied to a scientific or engineering domain such as energy, chemistry, materials, or equivalent area
- Knowledge of software development methodologies and code versioning tools, such as Git, continuous integration, and software testing