Senior Data Scientist

CSC; Wilmington (DE); Hybrid; USD 110,000 - 140,000; Full time

Job summary

CSC in Wilmington, USA, is seeking a Business Intelligence Senior Data Scientist to design advanced analytics, ML models, and scalable data pipelines in a hybrid, Monday–Friday schedule.

You will collaborate with analysts and business partners to deliver data-driven insights, optimize data transformations, and ensure data quality across the BI stack. Strong SQL, Python/R, and cloud platform experience are required.

Qualifications

• 5+ years of work experience in data engineering, BI development, or analytics engineering.
• Experience supporting enterprise BI Platform & Predictive analytics.
• Experience in Oracle and Microsoft SQL databases.
• 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 automation improvements.
• Excellent data visualization knowledge for dashboards and reports.
• Experience working in Agile/Scrum environments.

Responsibilities

• 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 improve processes for reliability.
• Collaborate with stakeholders to translate data requirements into scalable solutions.
• Deliver clean, structured datasets ready for visualization by analysts.
• Build predictive and statistical models to support forecasting, segmentation, and optimization.
• Implement Machine Learning and AI into BI processes.
• Validate, test, and refine models for accuracy and business relevance.
• Analyze large, complex datasets to identify trends and opportunities.
• Support deployment and operationalization of analytics outputs into BI solutions.
• Understand metadata management and data logs.

Skills

SQL

R

Python

Data modeling

Data visualization

Agile/Scrum

Cloud platforms

Databricks

Snowflake

Microsoft Fabric

Tools

Oracle

Microsoft SQL

Databricks

Snowflake

Microsoft Fabric

Azure

AWS

Alteryx

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?

• 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

This role is not eligible for employment visa sponsorship (e.g., H-1B, TN, E-3) now or in the future.