Senior Data Scientist

CSC · Wilmington, DE · 1 wk ago

HybridFull-time

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

About the role

A Business Intelligence Senior Data Scientist develops advanced analytics and machine learning models, maintains efficient data pipelines, reporting systems, and 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.

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 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

Requirements

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 Qualifications

Experience working with cloud platforms such as Azure or AWS
Experience in Alteryx is an added advantage

Schedule