Data Scientist

The Dignify Solutions LLC

New York, NY, United States

3 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Databases Data Architecture Information Engineering Data Governance Graph Database NoSQL Azure Machine Learning Software Engineering Google Cloud

+7 more

Microsoft Power Automate Azure Data Factory GitHub Copilot Large Language Models Multi-Cloud Generative AI Machine Learning Operations

Requirements

8+ years of overall experience in data engineering, data architecture, software engineering, or a closely related field, with 6+ years in an architecture-focused role.
Multi-cloud experience - hands-on design and delivery across at least two major cloud providers (e.g., Azure, AWS, Google Cloud Platform).
Multi-database experience across relational, NoSQL, analytical/warehouse, and vector or graph database technologies.
Multi-AI experience - practical work across a range of AI/ML and generative-AI frameworks, models, and platforms (e.g., LLMs, ML pipelines, RAG, model orchestration).
Strong requirements-gathering and stakeholder-facing skills: proven ability to extract clarity from ambiguity and write actionable specifications.
Excellent written and verbal communication; able to explain complex technical concepts to non-technical audiences and secure buy-in.
Hands-on experience delivering solutions with agentic development tooling / AI-assisted development workflows.
Demonstrated experience taking solutions from concept through approval to production implementation.
Preferred Qualifications
Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered.
Experience in large, complex, or public-sector / transit / infrastructure organizations.
Relevant cloud or data architecture certifications.
Familiarity with enterprise data governance, MLOps, and responsible-AI practices.
Additional Skills and Information: Preferred Qualifications
Primary recent experience on the Microsoft Azure stack (e.g., Azure Data services, Synapse/Fabric, Azure OpenAI, Azure ML).
Hands-on development experience with Microsoft Copilot tooling (e.g., GitHub Copilot, Copilot Studio, M365 Copilot). Exceptional candidates without Copilot experience will be considered.
Experience in large, complex, or public-sector / transit / infrastructure organizations.
Relevant cloud or data architecture certifications.
Familiarity with enterprise data governance, MLOps, and responsible-AI practices.