eTeam
Data Science Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Science Developer based in Mechanicsburg, PA or Lake Mary, FL for 1 year. Key skills include strong Python proficiency, data analysis, REST API development, Kubernetes experience, and familiarity with specific Python libraries for machine learning.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
449
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🗓️ - Date
November 4, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Mechanicsburg, PA
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🧠 - Skills detailed
#SciPy #ML (Machine Learning) #Deployment #Data Science #Athena #Kubernetes #pydantic #NumPy #Model Evaluation #REST (Representational State Transfer) #Libraries #Pandas #Data Manipulation #Java #API (Application Programming Interface) #Python #REST API #PyTorch #FastAPI #Data Analysis
Role description
Role: Data Science Developer
Location: 1 Year
Duration: Onsite, Mechanicsburg, PA or Lake Mary, FL
General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.
Skill Set :
1. Strong proficiency in Python development is essential.
1. General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.
1. Experience with Rest API development and troubleshooting.
1. Kubernetes Container and pipeline deployment experience is necessary.
1. 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, httpx, python-multipart, user-agents, httpx_auth, pyyaml, regex, and scikit\_learn is required.
1. Knowledge of PyTorch and scikit-learn for machine learning tasks is vital.
1. Java/J2EE knowledge - Good to have but not must.
Role: Data Science Developer
Location: 1 Year
Duration: Onsite, Mechanicsburg, PA or Lake Mary, FL
General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.
Skill Set :
1. Strong proficiency in Python development is essential.
1. General data science knowledge, including data analysis, data manipulation/cleaning, model evaluation, and validation, is crucial.
1. Experience with Rest API development and troubleshooting.
1. Kubernetes Container and pipeline deployment experience is necessary.
1. 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, httpx, python-multipart, user-agents, httpx_auth, pyyaml, regex, and scikit\_learn is required.
1. Knowledge of PyTorch and scikit-learn for machine learning tasks is vital.
1. Java/J2EE knowledge - Good to have but not must.
