CO
Senior Data Scientist(W2 Only)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist (W2 Only) with a contract length of 6+ months, offering $62/hr. Candidates should have 6+ years of experience in data science, preferably in healthcare, strong skills in Python, R, and big data technologies, and a PhD or equivalent experience. Remote work is available, but candidates must reside in specific states.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
496
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🗓️ - Date
November 22, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Remote
-
🧠 - Skills detailed
#Neural Networks #Snowflake #Databricks #R #Microsoft Power BI #Azure #AI (Artificial Intelligence) #Keras #Hadoop #Programming #Visualization #Big Data #BI (Business Intelligence) #SQL (Structured Query Language) #Tableau #NoSQL #NLP (Natural Language Processing) #PyTorch #ML (Machine Learning) #Python #Data Science #Cloud #Spark (Apache Spark) #Database Management #"ETL (Extract #Transform #Load)" #TensorFlow #Databases
Role description
Sr. Data Scientist
6+ Months
Remote
PR: $62/hr on W2
W2 only
Must Have Skills:
6+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
Knowledge of big data technologies (e.g., Hadoop, Spark)
Familiar with relational database concepts, and SDLC concepts
Demonstrate critical thinking and the ability to bring order to unstructured problems
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EXPERIENCE:
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
Familiarity with natural language processing (NLP) and computer vision techniques.
REQUIRED EXPERIENCE:
PHD or additional experience
Job Type: Contract
Pay: $60.00 - $62.00 per hour
Application Question(s):
• Must live within one of the fifteen preferred states - AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY (outside greater-NYC), OH, TX, UT, WA (outside greater-Seattle), WI
Education:
Master's (Preferred)
Experience:
Databricks, Snowflake, Azure AI Studio: 6 years (Preferred)
Hadoop, Spark: 6 years (Preferred)
TensorFlow, Keras, or PyTorch.: 6 years (Preferred)
k-NN, Naive Bayes, SVM: 6 years (Preferred)
machine learning algorithms: 6 years (Preferred)
Python and R: 6 years (Preferred)
natural language processing (NLP): 6 years (Preferred)
Work Location: Remote
Sr. Data Scientist
6+ Months
Remote
PR: $62/hr on W2
W2 only
Must Have Skills:
6+ years’ work experience as a data scientist preferably in healthcare environment but candidates with suitable experience in other industries will be considered
Knowledge of big data technologies (e.g., Hadoop, Spark)
Familiar with relational database concepts, and SDLC concepts
Demonstrate critical thinking and the ability to bring order to unstructured problems
Technical Proficiency: Strong programming skills in languages such as Python and R, and experience with machine learning frameworks like TensorFlow, Keras, or PyTorch.
Statistical Analysis: Excellent understanding of statistical methods and machine learning algorithms, including k-NN, Naive Bayes, SVM, and neural networks.
Experience with Agentic Workflows: Familiarity with designing and implementing agentic workflows that leverage AI agents for autonomous operations.
RAG Techniques: Knowledge of retrieval-augmented generation techniques and their application in enhancing AI model outputs.
Model Fine-Tuning Expertise: Proven experience in fine-tuning models for specific tasks, ensuring they meet the required performance metrics.
Data Visualization: Proficiency in data visualization tools (e.g., Tableau, Power BI) to present complex data insights effectively.
Database Management: Experience with SQL and NoSQL databases, data warehousing, and ETL processes.
Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on developing innovative solutions to complex challenges.
PREFERRED EXPERIENCE:
Experience with cloud platforms (e.g., Databricks, Snowflake, Azure AI Studio etc.) for working with AI workflows and deploying models.
Familiarity with natural language processing (NLP) and computer vision techniques.
REQUIRED EXPERIENCE:
PHD or additional experience
Job Type: Contract
Pay: $60.00 - $62.00 per hour
Application Question(s):
• Must live within one of the fifteen preferred states - AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY (outside greater-NYC), OH, TX, UT, WA (outside greater-Seattle), WI
Education:
Master's (Preferred)
Experience:
Databricks, Snowflake, Azure AI Studio: 6 years (Preferred)
Hadoop, Spark: 6 years (Preferred)
TensorFlow, Keras, or PyTorch.: 6 years (Preferred)
k-NN, Naive Bayes, SVM: 6 years (Preferred)
machine learning algorithms: 6 years (Preferred)
Python and R: 6 years (Preferred)
natural language processing (NLP): 6 years (Preferred)
Work Location: Remote
