Senior Data Scientist, ML Operations and Analytics
Filevine
CloudPythonSQL
Job Level
JuniorMid-Level
Tech Stack
CloudPython
About the role
- Solve real world problems using applied algorithmic research and Data Science practices
- Implement functionality which can be served in production for internal customers as well as external customers
- Designing, building and maintaining data sets
- Data cleaning
- Feature engineering and extraction
- Modeling
- Experimentation
- Online and offline demonstrations of capabilities
- Building end-to-end machine learning pipelines
- Conduct reproducible research
- Collaborate with Engineering, Operations, Product Management and other functions in the company to deliver algorithmic solutions
- Apply software engineering practices in our code that implements our research and its infrastructure
- Produce high quality, clean, maintainable reproducible research and code
Requirements
- Background and experience in data/backend engineering, ideally in production environments (3+ years) (Mid/Senior Level role)
- High proficiency in Python and its data science stack.
- Background and hands-on experience (2+ years) in applied algorithmic research, specifically in information retrieval, text processing, computer vision (CV), computational linguistics (NLP) and machine learning
- Track record of good written and verbal communication of complex things in a simple way as well as ability to collaborate well with people from different backgrounds and professions
- A master’s degree or higher
- Experience in NLP is a plus
