Data Science DeveloperGeneral 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.