Data Scientist
Diverse Lynx LLC
Princeton, United States of America
18 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Compensation
$ 160KJob location
Princeton, United States of America
Tech stack
Java
Artificial Intelligence
Big Data
Software Documentation
Information Systems
Data Dictionary
Github
MapReduce
Hive
Machine Learning
NoSQL
Software Architecture
Software Engineering
SQL Databases
Systems Integration
Unix Commands
Spark
PySpark
Information Technology
Machine Learning Operations
Data Pipelines
Job description
Principal Scientist, Data Science and AI Location: Princeton, NJ We are seeking an accomplished Principal Scientist to serve as a technical cornerstone for our Data Science and…
- 1 month ago
Requirements
- Bachelors or higher degree in Data Science, Computer Science, Information Systems, Engineering or related field
- Hands-on experience in building and deploying ML models including Classical ML and NLP
- In-depth knowledge of machine learning algorithms, software architecture, libraries and frameworks to create ML models that accomplishes outlined goals
- Rigorous knowledge of Python programming to develop software. Java is a plus.
- Creative thinking and problem solving skills to come up with new solutions and approaches
- Skillful in developing and maintaining detailed, easy-to-read documentation including data dictionaries, model documentation, and code documentation
- Experience in integrating ML into existing applications in batch and realtime
- Effective verbal and written communication skills to collaborate within and outside the team
- Hands-on experience on writing and understanding complex SQL and optimizing data pipelines. Experience with NoSQL is a plus
- Experience in Big Data ecosystem including Map-Reduce, Hive, Spark (core, SQL and pyspark) is a plus. Knowledge of basic UNIX commands is necessary.
- Experience with GitHub and leveraging CI/CD pipelines
- Experience in taking models through AI/ML governance in highly regulated industry is a plus
About the company
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