CH
Chris Heilmann
Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production
almost 2 years ago
Data Scientist
CogniSoft Technologies
Redwood City, CA, United States
about 2 months ago
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Role details
Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
JavaScript (Programming Language)
Dynamical Systems
Github
MapReduce
Python (Programming Language)
Data Streaming
Information Technology
Unsupervised Learning
Requirements
- MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields.
- Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
- Experience with prototyping languages such as Python and R.
- Strong mathematical background (linear algebra, calculus, probability and statistics).
- Experience with scalable ML (MapReduce, streaming).
- Ability to drive a project and work both independently and in a team.
- Smart, motivated, can-do attitude, and seeks to make a difference.
- Excellent verbal and written communication.
Preferred Qualifications:
- Experience with JavaScript and Java.
- Experience with time series and dynamical systems.
- A portfolio of projects (GitHub, papers, etc.).
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on dice.comGood distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists3:14 min
Structuring career paths and localized data architectures
Ulrich Wurstbauer +1 · LIVE
1:50 min
Lowering pipeline latency with data streaming
Nathaniel Okenwa · WWC 2024
4:01 min
Comparing distributed processing architectures for batch and streaming
Qiyang Duan · LIVE
6:36 min
Funding open source through GitHub Accelerator and Sponsors
Stormy Peters · WWC 2023
2:13 min
Modernizing legacy applications for real-time streaming data consumption
Farooq Sheikh +3 · WWC 2025
4:38 min
Architecting common use cases via serverless design
Oliver Arafat · LIVE
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