Remote Data Scientist — USA Contractor (ML/NLP)

CodeRoad Inc; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

100% remote work

USD compensation

Paid time off

Health insurance assistance

Opportunity with US-based clients

Job summary

CodeRoad Inc, a technology execution partner, seeks a Data Scientist to design and productionize ML models and NLP solutions for US client projects. You will build scalable data pipelines, run scenario analyses, and present insights to business partners.

You will work with Python, SQL, NLP tech, and cloud ML tools in a remote setup, collaborating with cross-functional teams on high-impact use cases for North American clients.

Qualifications

• Proven experience building end-to-end ML models on large transactional datasets.
• Strong SQL querying skills across MS SQL Server and PostgreSQL.
• Hands-on NLP, embeddings, and LLM experience.
• Proficiency with Python and standard data science libraries.
• Experience with cloud ML platforms and data visualization tools.

Responsibilities

• Develop and deploy predictive ML models for anomaly detection, forecasting, and classification.
• Apply NLP, embeddings, and LLM techniques to unstructured documents.
• Build scalable data pipelines and model monitoring workflows.
• Conduct exploratory and scenario analyses to inform strategies.
• Translate data insights into actionable business recommendations.
• Ensure governance, quality checks, and security across cloud data platforms.

Skills

Python

SQL

NLP & embeddings

ML modeling

Cloud ML tools

Tools

MS SQL Server

PostgreSQL

Azure ML Studio

Azure AI Foundry

Power BI

Tableau

Python plotting libraries

Job description

CodeRoad Inc, a technology execution partner, seeks a Data Scientist to design and productionize ML models and NLP solutions for US client projects. You will build scalable data pipelines, run scenario analyses, and present insights to business partners.

You will work with Python, SQL, NLP tech, and cloud ML tools in a remote setup, collaborating with cross-functional teams on high-impact use cases for North American clients.