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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