Senior Data Scientist

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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