New York Technology Partners
Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Scientist position for a 6-month contract, offering a pay rate of "$X/hour". It requires 5+ years in Python, 3+ years in NLP, and experience with LLMs. Knowledge of healthcare or consumer platforms is preferred. Remote work available.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
480
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🗓️ - Date
April 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Datasets #Databricks #Transformers #NLP (Natural Language Processing) #Python #ML (Machine Learning) #Scala #Supervised Learning #AI (Artificial Intelligence) #Databases #Forecasting #"ETL (Extract #Transform #Load)" #Data Science #Unsupervised Learning #Libraries
Role description
About the Role
We are seeking a Data Scientist to join a Copilot initiative focused on improving the omni-channel consumer experience for Medicare shoppers. This team is building an AI-driven architecture leveraging Machine Learning, Generative AI, and Large Language Models (LLMs) to help consumers find the best healthcare plans for their needs.
You will work alongside engineering and product teams to design, develop, and deploy intelligent solutions that operate cohesively across multiple consumer use cases. This is a highly collaborative role focused on building production-ready AI systems that drive meaningful customer outcomes.
Key Responsibilities
• Design and implement AI/ML solutions supporting the Copilot initiative
• Build and deploy models using ML, GenAI, and LLM technologies
• Apply NLP and transformer-based models to large-scale datasets
• Develop and optimize RAG pipelines, embeddings, and vector database solutions
• Build APIs to expose and operationalize models in production environments
• Collaborate with engineering and product teams on AI-focused architecture
• Present technical insights and analysis to cross-functional stakeholders
• Contribute to scalable, production-ready AI systems
Required Skills & Experience
• 5+ years of experience in Python using data science libraries such as scikit-learn and Databricks
• 3+ years applying NLP, including transformers and GPT, in production environments
• 2–3 years of experience applying LLMs including RAG, vector databases, and embeddings
• Experience applying data science techniques in enterprise environments including supervised learning, unsupervised learning, NLP, time-series forecasting, and statistical analysis
• Experience building APIs for models
• Strong analytical, quantitative, and problem-solving skills
• Strong written and verbal communication skills
• Organized self-starter able to work with minimal supervision
Preferred Experience
• Experience working with large-scale production AI systems
• Experience in healthcare, insurance, or consumer-facing platforms
• Experience collaborating in cross-functional AI engineering teams
About the Role
We are seeking a Data Scientist to join a Copilot initiative focused on improving the omni-channel consumer experience for Medicare shoppers. This team is building an AI-driven architecture leveraging Machine Learning, Generative AI, and Large Language Models (LLMs) to help consumers find the best healthcare plans for their needs.
You will work alongside engineering and product teams to design, develop, and deploy intelligent solutions that operate cohesively across multiple consumer use cases. This is a highly collaborative role focused on building production-ready AI systems that drive meaningful customer outcomes.
Key Responsibilities
• Design and implement AI/ML solutions supporting the Copilot initiative
• Build and deploy models using ML, GenAI, and LLM technologies
• Apply NLP and transformer-based models to large-scale datasets
• Develop and optimize RAG pipelines, embeddings, and vector database solutions
• Build APIs to expose and operationalize models in production environments
• Collaborate with engineering and product teams on AI-focused architecture
• Present technical insights and analysis to cross-functional stakeholders
• Contribute to scalable, production-ready AI systems
Required Skills & Experience
• 5+ years of experience in Python using data science libraries such as scikit-learn and Databricks
• 3+ years applying NLP, including transformers and GPT, in production environments
• 2–3 years of experience applying LLMs including RAG, vector databases, and embeddings
• Experience applying data science techniques in enterprise environments including supervised learning, unsupervised learning, NLP, time-series forecasting, and statistical analysis
• Experience building APIs for models
• Strong analytical, quantitative, and problem-solving skills
• Strong written and verbal communication skills
• Organized self-starter able to work with minimal supervision
Preferred Experience
• Experience working with large-scale production AI systems
• Experience in healthcare, insurance, or consumer-facing platforms
• Experience collaborating in cross-functional AI engineering teams
