Senior Data Scientist

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

Business Intelligence Senior Data Scientist

Wilmington - HQ, USA

Monday-Friday 8:00 am to 5:00 pm

Hybrid

A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, and maintains efficient data pipelines, reporting systems, DataOps practices for CI/CD of pipelines and BI infrastructure. Collaborate with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data-driven decision making. 5+ years of experience in data engineering, BI development, or analytics engineering.

Some of the things you will be doing:

• Implement data integration solutions for various data sources, ensuring data accuracy, consistency and completeness
• Develop data quality, reconciliation and error handling frameworks to ensure data integrity
• Optimize SQL and data transformation logic for performance and scalability
• Document data flows, transformations and dependencies
• Drive best practices in coding, testing and identify opportunities to improve processes and system reliability
• Collaborate with business stakeholders to understand data requirements and translate them to scalable solutions.
• Support analysts and business teams by delivering clean, structured datasets ready for visualization
• Build predictive and statistical models to support forecasting, segmentation, and optimization
• Implement Machine Learning and AI into Business Intelligence processes
• Validate, test, and refine models to ensure accuracy and business relevance.
• Analyze large, complex datasets to identify trends, patterns, and business opportunities
• Support deployment and operationalization of analytics and data science outputs into Business Intelligence solutions
• Understanding and knowledge of metadata management and data logs

What technical skills, experience and qualifications do you need?

• Bachelor's degree
• 5+ years of work experience
• Experience supporting enterprise BI Platform & Predictive analytics
• Experience in database technologies Oracle and Microsoft SQL
• Extensive experience with R & Python and data modeling concepts
• Understanding of data pipeline and ETL/ELT technologies
• Understanding of next-gen technologies (Databricks, Snowflake, Microsoft fabric).
• Proven experience in SQL performance tuning and recommend improvements for automation and maintainability.
• Excellent understanding of data visualization concepts to support dashboards and reports
• Ability to work both independently and in a team-oriented, collaborative environment
• Strong problem solving and analytical thinking skills
• Flexible and adaptable with respect to learning and understanding new technologies
• Ability to effectively prioritize and execute tasks in a high-pressure environment
• Excellent communication and interpersonal skills
• Detail-oriented with a focus on quality and accuracy
• Experience working in Agile/Scrum environments, participating in sprint planning, standups, reviews and retrospectives
• Preferred - Experience working with cloud platforms such as Azure or AWS
• Preferred - Experience in Alteryx is an added advantage

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