Senior Data Scientist

About

Business Intelligence Senior Data Scientist
Wilmington – HQ, USA (Hybrid) – Monday‑Friday 8:00 am to 5:00 pm

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. Collaborates with analysts and business partners to deliver scalable solutions that support analytics, reporting, and data‑driven decision making. Requires 5+ years of experience in data engineering, BI development, or analytics engineering.

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.
• Understand and manage metadata and data logs.

Requirements

• 5+ years of work experience.
• Experience supporting enterprise BI platforms and predictive analytics.
• Experience with Oracle and Microsoft SQL database technologies.
• Extensive experience with R and Python and data modeling concepts.
• Understanding of data pipeline and ETL/ELT technologies.
• Familiarity with next‑gen technologies (Databricks, Snowflake, Microsoft Fabric).
• Proven experience in SQL performance tuning and recommending 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, stand‑ups, reviews and retrospectives.

Preferred

• Experience with cloud platforms such as Azure or AWS.
• Experience with Alteryx.