Remote: Yes (flexible timezones)
Willing to relocate: No
Technologies:
- Data Science: Pandas, Numpy, sentence-transformers, Matplotlib, Scikit-Learn, LLMs, ElasticSearch, Pinecone, PyTorch, nltk, XGBoost
- Data engineering: Dagster, Airflow, Spark, Kafka, BigQuery, Postgres, ElasticSearch, Great Expectations
- DevOps: Docker, Kubernetes, GCP, AWS
- Frontend: React.js, Next.js, TailwindCSS
- Backend: FastAPI, Express
Resume: https://www.linkedin.com/in/nsv-3b1a54234
Email: nathan2vec@gmail.com
Hi! I've been working as a data scientist/MLE for the past 5 years. The last year as a freelancer, and before that working on various NLP tasks at a hedge fund. My generalist skillset with a specialisation in NLP makes me a perfect fit for startups working on generative AI products. I work highly autonomously and thrive in uncertainty. I am available for 32 hours per week until May, and full time after that.