NexZenTek Solutions Inc
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 5+ years of experience in Data Science, proficiency in Python and MongoDB, and familiarity with healthcare analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#Storage #"ETL (Extract #Transform #Load)" #Distributed Computing #Pandas #Compliance #Statistics #NumPy #TensorFlow #NLP (Natural Language Processing) #SQL (Structured Query Language) #Regression #Python #Automation #Data Storage #Data Pipeline #Data Science #Visualization #Classification #ML (Machine Learning) #MongoDB #Data Extraction #Data Quality #Clustering #Data Engineering #Business Analysis #Data Processing #Datasets #PyTorch
Role description
Key Responsibilities
• Design, develop, and deploy machine learning models using Python.
• Perform data extraction, transformation, and analysis from structured and unstructured data sources, including MongoDB.
• Build predictive and statistical models to support healthcare analytics initiatives.
• Develop data pipelines and automation scripts for large-scale data processing.
• Collaborate with cross-functional teams including data engineers, business analysts, and healthcare stakeholders.
• Create dashboards, reports, and visualizations to communicate findings effectively.
• Ensure data quality, governance, and compliance with healthcare regulations.
• Optimize and monitor model performance in production environments.
Required Skills & Qualifications
• 5+ years of experience in Data Science or related field.
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch preferred).
• Hands-on experience with MongoDB for data storage, querying, and performance tuning.
• Experience with machine learning algorithms (regression, classification, clustering, NLP).
• Strong understanding of statistics and probability.
• Experience working with large datasets and distributed computing.
• Knowledge of SQL and data warehousing concepts.
• Experience in healthcare domain is a strong plus.
Key Responsibilities
• Design, develop, and deploy machine learning models using Python.
• Perform data extraction, transformation, and analysis from structured and unstructured data sources, including MongoDB.
• Build predictive and statistical models to support healthcare analytics initiatives.
• Develop data pipelines and automation scripts for large-scale data processing.
• Collaborate with cross-functional teams including data engineers, business analysts, and healthcare stakeholders.
• Create dashboards, reports, and visualizations to communicate findings effectively.
• Ensure data quality, governance, and compliance with healthcare regulations.
• Optimize and monitor model performance in production environments.
Required Skills & Qualifications
• 5+ years of experience in Data Science or related field.
• Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch preferred).
• Hands-on experience with MongoDB for data storage, querying, and performance tuning.
• Experience with machine learning algorithms (regression, classification, clustering, NLP).
• Strong understanding of statistics and probability.
• Experience working with large datasets and distributed computing.
• Knowledge of SQL and data warehousing concepts.
• Experience in healthcare domain is a strong plus.
