Mid Level Data Scientist Engineer
Jobright.ai
Join to apply for the Mid Level Data Scientist Engineer role at Jobright.ai 2 days ago Be among the first 25 applicants Join to apply for the Mid Level Data Scientist Engineer role at Jobright.ai Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust. Job Summary: Womble Bond Dickinson (US) LLP seeks a Data Scientist Engineer responsible for designing, building, and maintaining a modern business intelligence platform and analytics capabilities using Microsoft technologies. This role focuses on leveraging AI and data science tools to provide data-driven insights and automate reporting tasks while collaborating with data engineers to support data architecture and ETL processes. Responsibilities:
- Design and build scalable enterprise business intelligence systems and analytics capabilities for lawyers and staff.
- Develop and maintain dimensionally modeled data warehouses to support reporting and advanced analytics across various operational functions.
- Lead innovative AI-driven approaches to automate workflows and promote data integrity and integration across systems.
- Synthesize and analyze data for reporting (including financial reporting) for complex questions and business problems.
- Collaborate with software/data engineers, analysts, and legal operations stakeholders to define data needs and build structured, governed solutions.
- Participate in data architecture planning and contribute to the firm's overall modernization strategy.
- Bachelor’s Degree or advanced degree, preferably in Computer Science, Statistics or related field.
- 3+ years of experience in data science, data analysis or data engineering using Microsoft technologies, preferably within legal and/or professional services industries.
- Strong working knowledge of Microsoft SQL Server BI and Data Science Tools such as T-SQL, Python/R, PowerBI, SSRS/SSAS, DAX.
- Hands-on experience with Microsoft Fabric and Microsoft’s OneLake architecture.
- Proficiency with ETL tools including Azure Data Factory, Synapse, Fabric, third-party APIs / system integration.
- Ability to learn and leverage existing and emerging AI technologies.
- Demonstrated experience in dimensional modeling and enterprise data warehouse design (Kimball).
- Understanding of data governance, compliance, and security requirements in a legal context.
- Experience documenting data models, source mappings, ETL flows.
- Proficiency with Git and Azure DevOps for collaborative development and deployment.
- Understanding of data security best practices (Security+ or higher certifications desirable).
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