Azure Data Scientist

Location: Hybrid – Ewing, NJ (Onsite every Tuesday & Wednesday) Duration: 12+ Months Role Summary: This position will play a key role in leveraging data to drive strategic insights, optimize operations, and support innovation. The ideal candidate will have a strong analytical mindset, experience working with large datasets, and a passion for solving complex business problems using advanced data science and AI techniques. Key Responsibilities: • Design, develop, and deploy predictive and prescriptive models using Azure ML, Python, and Power Platform • Drive unified analytics using tools like Power BI, Azure Synapse, and OneLake • Work closely with cross-functional teams to translate business needs into scalable data solutions • Analyze large datasets to uncover trends, patterns, and actionable insights • Build dashboards and visualizations to effectively communicate findings • Provide technical leadership and establish best practices in data science and analytics • Implement data governance, data quality standards, and model validation frameworks • Stay updated with emerging trends in AI, ML, and data analytics Required Skills & Experience: • 5+ years of experience in data analysis, modeling, and large dataset handling • 8+ years of programming experience (Python, SQL, Spark, Power BI) • Strong expertise in Azure ecosystem (Azure ML, Synapse, Fabric, Power Platform, OneLake) • Experience with predictive & prescriptive analytics and machine learning algorithms • Knowledge of CI/CD pipelines for model deployment • Experience working with structured, semi-structured, and unstructured data • Strong data storytelling and stakeholder communication skills Preferred Qualifications: • Background in Data Science, Computer Science, Statistics, or related field • Experience in digital supply chain or e-commerce domain • Exposure to NLP and Generative AI • Familiarity with Microsoft Dynamics 365