Research Scientist, Foundational Data Science
Prior Labs · New York, NY · 1 wk ago
On-siteInformation TechnologyFull-time
Join us in our mission to help humanity make better decisions through the development of tabular foundation models.
About the role
We are seeking an experienced professional to join our team. This role will be responsible for advancing our mission by developing and deploying tabular foundation models.
Responsibilities
- Develop and maintain tabular foundation models
- Collaborate with cross-functional teams to ensure alignment and success
- Contribute to the continuous improvement of our model architecture and performance
- Stay updated with the latest advancements in tabular foundation models and machine learning
Requirements
- Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field
- Experience with tabular data processing and machine learning
- Strong problem-solving skills and ability to work independently and collaboratively
- Excellent communication and interpersonal skills
- Ability to work in a fast-paced environment
Qualifications
- Proven track record of successful projects in machine learning and data science
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or similar
- Knowledge of SQL and database management systems
- Experience with cloud platforms like AWS, Google Cloud, or Azure
Skills
- Proficiency in Python and other programming languages
- Experience with data preprocessing techniques
- Understanding of statistical methods and their application to machine learning
- Experience with natural language processing (NLP)
Benefits
- Comprehensive benefits including healthcare, transportation, fitness, team lunches & company offsites
- Competitive compensation package with meaningful equity
- 30 days of paid vacation + public holidays (and we pay out the holidays if they’re not taken)
- Seamless relocation including relocation bonus and support to make your move to Germany smooth
Pay
Compensation is competitive and commensurate with experience.
Schedule
The schedule is flexible and designed to accommodate the needs of the team and the individual.
Contact
If you're interested in joining our team, please submit your resume and cover letter to [email protected]