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 #LI-AM1 #SeniorDataScientistjobs #Hybrid #CSCCareers