Data Science Developer

Data Science Developer

General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.

Skill Set:

• Strong proficiency in Python development is essential.
• General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.
• Experience with Rest API development and troubleshooting.
• Kubernetes container and pipeline deployment experience is necessary.
• Familiarity with specific Python libraries and packages such as asyncio, mangum, scipy, awswrangler, nest_asyncio, setuptools, botocore, numpy, statsmodels, boto3, pandas, torch, fastapi, pyarrow, tornado, fastjsonschema, PyAthena, uvicorn, fastparquet, pydantic, urllib3, h11, python-dotenv, requests, python-multipart, user-agents, pyyaml, regex, and scikit_learn is required.
• Knowledge of PyTorch and scikit-learn for machine learning tasks is vital.
• Java/J2EE knowledge - Good to have but not must.