[Remote] Senior Data Scientist (Dataiku / Azure ML) Remote
                                Note: The job is a remote job and is open to candidates in USA. Dice is the leading career destination for tech experts at every stage of their careers. Delta Dental is seeking a Senior Data Scientist with deep expertise in Dataiku and Azure ML to join their Data & Analytics Center of Excellence. This role will advance enterprise-wide analytics and drive AI/ML strategy to enable data-driven decision-making across the organization.
Responsibilities
• Partner with Data Architecture, Data Engineering, and Business Analytics teams to identify and implement ML use cases solving real-world business challenges.
• Leverage Dataiku and Azure ML to define, develop, tune, and deploy machine learning models.
• Provide guidance and mentorship to business data scientists and development teams on ML best practices.
• Act as Advanced Analytics Product Owner manage ML use cases, prioritize initiatives, and track delivery progress.
• Champion ethical AI practices, data governance, and model validation standards.
• Build and deploy predictive and prescriptive models to support strategic initiatives.
• Lead process improvement and automation efforts within analytics workflows.
• Communicate complex data insights to both technical and non-technical stakeholders.
• Develop business cases, proposals, and presentations supporting analytics initiatives.
Skills
• 8+ years of experience in Data Science, Advanced Analytics, or ML Engineering.
• Strong hands-on experience with Dataiku, Azure ML, Python, and SQL.
• Proven ability to design and implement end-to-end ML solutions (data prep, modeling, deployment, monitoring).
• Experience leading complex analytics projects in an enterprise setting.
• Excellent communication, stakeholder management, and presentation skills.
• Background in data governance, AI ethics, or model lifecycle management is a plus.
• Experience with Delta Dental or similar healthcare/insurance domain.
• Exposure to Azure Data Lake, Databricks, or MLflow.
Education Requirements
• Advanced degree (M.S. or Ph.D.) in Data Science, Computer Science, or related field.
Company Overview
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