Sr. Data Scientist

Lancesoft; Raleigh (NC); Hybrid; USD 110,000 - 140,000; Full time

Job summary

NCDOT is seeking a Senior Data Scientist to partner with stakeholders and various teams to drive data-driven decisions at the enterprise level. The role emphasizes defining authoritative data sources, governance, and scalable data solutions.

The position involves working with Azure Data Factory and Azure Databricks to standardize ingestion, transformation, and data quality practices, ensuring consistent data flows across applications and reporting tools. Hybrid work arrangement in Raleigh, NC.

Responsibilities

• Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement.
• Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets.
• Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives.
• Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks.
• Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships.
• Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions.
• Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.

Skills

Stakeholder collaboration

Data governance

Data quality

Enterprise data concepts

Tools

Azure Data Factory

Azure Databricks

Job description

Title: NCDOT - Data Scientist- Senior

Duration: 10/19/2026 - 10/18/2027

Location: NCDOT Century Center, Building B 1020 Birch Ridge Drive Raleigh, NC 27610

Position: Hybrid

Key Responsibilities:

• Partner with business stakeholders, application teams, Database Administration, Data Engineering, Power BI, and project teams to understand data needs and identify opportunities for improvement.
• Facilitate discussions to identify authoritative data sources, establish common business definitions, and improve understanding of enterprise data assets.
• Work with project teams to incorporate practical data governance, metadata, lineage, and data quality practices into ongoing initiatives.
• Identify opportunities to standardize and reuse data ingestion, transformation, cleansing, and validation patterns across projects using Azure Data Factory and Azure Databricks.
• Help develop and maintain an inventory of enterprise data assets, including data owners, stewards, business definitions, and system relationships.
• Collaborate with business and technical teams to document how data flows across applications, platforms, and reporting solutions.
• Participate in data architecture and solution design discussions to promote consistency, scalability, and reuse across enterprise data solutions.