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Azure Healthcare Data Scietist (Only W2 Consultants)

This role is for an Azure Healthcare Data Scientist (W2 Consultants) for a long-term contract (12+ months) at $70.00 - $80.00 per hour. Key skills include Python, Azure services, healthcare data standards, and NLP expertise.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
February 13, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
Remote
🧠 - Skills detailed
#Datasets #Libraries #Consul #TensorFlow #Classification #AI (Artificial Intelligence) #Data Transformations #Azure #Programming #Monitoring #Azure cloud #Langchain #Complex Queries #Deep Learning #Elasticsearch #Data Manipulation #PyTorch #Azure SQL Database #Sentiment Analysis #FHIR (Fast Healthcare Interoperability Resources) #Data Science #Cloud #Normalization #"ETL (Extract #Transform #Load)" #Indexing #Azure SQL #Data Normalization #NLP (Natural Language Processing) #SQL Server #SQL (Structured Query Language) #SpaCy #ML (Machine Learning) #Python
Role description
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Hi All,
My name is Poornachandra Rao and I'm a recruiter at Kyyba. We specialize in recruiting professionals at all levels (both contract and perm). I came across your profile and believe you are a great fit for one of the opportunities. I've included the job description here for your review. Please let me know if you’re interested and like to discuss this opportunity in greater detail. You can reach me at (248) 254 4299
Fully remote- Only W2 Consultants

Job Title : Data Scientist

Duration : Long Term (12+ Months) with strong possible to Ext

A solid foundation in Python programming is essential, along with familiarity with popular AI libraries and frameworks such as Langchain, TensorFlow, PyTorch, scikit-learn, and spaCy.
Demonstrated proficiency in developing AI solutions using Azure services, including Azure AI Search, Azure OpenAI APIs, and Azure SQL Database.
In-depth knowledge of search algorithms, indexing techniques, and retrieval models for effective information retrieval tasks. Familiarity with search platforms like Elasticsearch or Azure AI Search is highly advantageous.
Hands-on experience with RAG (Retriever-Augmented Generation) architecture and its application in natural language processing tasks is essential.
Ability to proficiently manipulate data, perform complex queries, and conduct data transformations using SQL Server.
A solid understanding of machine learning and deep learning techniques, particularly those relevant to natural language processing tasks such as text extraction, text classification, sentiment analysis, named entity recognition, and summarization.
Ability to preprocess and clean large datasets efficiently using SQL, Python, and other data manipulation tools. Experience with techniques such as data normalization, feature engineering, and data augmentation is preferred.
Expertise in working with healthcare data standards (e.g., HIPAA and FHIR), handling sensitive data, and applying data masking techniques to protect personally identifiable information (PII) and protected health information (PHI).
Knowledge of cloud computing principles and experience in deploying, scaling, and monitoring AI solutions on cloud platforms like Azure.
Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders and collaborate with cross-functional teams.
An analytical mindset with a keen attention to detail, coupled with the ability to solve complex problems efficiently.
Knowledge of cloud cost management principles and best practices to optimize cloud resource usage and minimize costs.

Must Have:

Minimum of 10 years’ experience as a data scientist.
Deep hands-on experience with Python.
Hands-on experience scaling POCs (proof of concepts) to production.
Hands-on experience with the Azure Cloud ecosystem.

Job Type: Contract
Pay: $70.00 - $80.00 per hour
Expected hours: 40 per week
Compensation Package:

Hourly pay

Schedule:

8 hour shift
Day shift
Monday to Friday

Work Location: Remote