Data Scientist

Stellent IT LLC; Raleigh (NC); Hybrid; USD 124,000 - 207,000; Part time

Job summary

Stellent IT LLC in Raleigh, NC seeks a Senior Data Scientist to support the rapid expansion of enterprise data capabilities using Azure Databricks and Azure Data Factory. The contractor will lead data ingestion, transformation, cleansing and analytics solutions across business units.

You will define and standardize data elements, metadata and lineage, collaborate with business teams, and implement governance practices across projects with no existing framework.

Qualifications

• Expertise in enterprise data strategy and governance with cross-unit impact.
• Ability to define and standardize enterprise data elements and business rules.
• Experience collaborating with business units to translate data needs into standards.

Responsibilities

• Collaborate with business teams to translate data needs into enterprise standards.
• Implement governance practices including metadata, lineage, and data quality across projects.
• Document end-to-end data flows across systems to improve transparency and architecture clarity.

Skills

Enterprise data strategy

Stakeholder collaboration

Data governance

Tools

Azure Databricks

Azure Data Factory

Job description

Title- Data Scientist- Senior

Location- RALEIGH/DURHAM/CHAPEL HILL, NC AREA Local NC hybrid Candidates preferred

Job Type- Contract

Interview- web Interview

We are seeking a Senior Data Scientist with 5 years of experience to support the NCDIT-T / NCDOT's rapid expansion of its enterprise data capabilities through Azure Databricks, Azure Data Factory, and modern analytics platforms. This contractor will be a dedicated resource focused on establishing consistent enterprise data practices that span both technical teams and business units as they are building data ingestion, transformation, cleansing and analytics solutions.

MANDATORY MUST HAVE:

• Expertise in enterprise data strategy, governance, and modern data architecture that cannot be performed by an early career resource.
• Expert in Azure Databricks, Azure Data Factory, and modern analytics platforms
• Ability to define and standardize enterprise data elements, lineage, and business rules across units with no existing framework.

Required

• Ability to collaborate with business teams to translate data needs into consistent enterprise standards.
• Ability to implement governance practices including metadata, lineage, and data quality across projects with no existing framework.
• Ability to document end-to-end data flows across systems to improve transparency and architecture clarity.