Senior BI Data Scientist – Hybrid, ML & DataOps

Corporation Service Company; Wilmington (DE); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Corporation Service Company in Wilmington, DE is seeking a Senior Data Scientist to lead BI initiatives, develop ML models, and maintain data pipelines in a hybrid environment. You will collaborate with analysts and business partners to deliver scalable analytics solutions that support data-driven decision making.

The role requires 5+ years in data engineering, BI development, or analytics engineering, with strong SQL, Python, and R skills, plus experience with data modeling and ETL/ELT

Qualifications

• Bachelor's degree required.
• 5+ years of work experience.
• Experience supporting enterprise BI Platform & Predictive analytics.
• Experience with Oracle and Microsoft SQL.
• Proficiency in R & Python and data modeling.
• Understanding of data pipeline and ETL/ELT technologies.
• Knowledge of Databricks, Snowflake, or Microsoft Fabric.
• SQL performance tuning experience.
• Strong data visualization and dashboard skills.
• Experience in Agile/Scrum environments.

Responsibilities

• Implement data integration solutions across data sources.
• Develop data quality, reconciliation and error handling frameworks.
• Optimize SQL and data transformation logic for performance.
• Document data flows, transformations and dependencies.
• Improve processes and system reliability through best practices.
• Collaborate with stakeholders to translate data requirements into scalable solutions.
• Deliver clean, structured datasets for visualization.
• Build predictive and statistical models for forecasting and segmentation.
• Apply ML/AI to BI processes and validate models.

Skills

SQL

Python

R

Data modeling

ETL/ELT

Data pipelines

BI reporting

Analytics

Cloud platforms

Agile/Scrum

Communication skills

Education

Bachelor's degree

Tools

Databricks

Snowflake

Microsoft Fabric

Job description

Corporation Service Company in Wilmington, DE is seeking a Senior Data Scientist to lead BI initiatives, develop ML models, and maintain data pipelines in a hybrid environment. You will collaborate with analysts and business partners to deliver scalable analytics solutions that support data-driven decision making.

The role requires 5+ years in data engineering, BI development, or analytics engineering, with strong SQL, Python, and R skills, plus experience with data modeling and ETL/ELT