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Senior ML role with broad requirements in a metro market yields moderate candidate competition.
Role requires deep ML, enterprise deployment, and cloud analytics experience, limiting cross-industry transferability.
Explicit 10–15 years plus mandatory ML, Azure Synapse, and deployment skills creates strict filters.
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Lead design, development, and deployment of advanced analytics and machine learning solutions that drive strategic business outcomes.
Own end-to-end analytical solution delivery leveraging Azure Synapse Analytics and production-grade machine learning models with enterprise performance and governance.
Engage and influence cross-functional and executive stakeholders, translating complex analytics into actionable business insights and guiding data science strategy.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, AI, or related field.
10-15 years of experience in Data Science, Machine Learning, or Advanced Analytics.
Hands-on experience with Azure Synapse Analytics and advanced programming skills in Python and SQL.
Experience developing and deploying enterprise-grade machine learning solutions using frameworks such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
Proven ability to lead complex analytics initiatives from concept through production in enterprise environments, including AI and digital transformation projects.
Strong combination of deep technical expertise in data science and machine learning with business acumen and consulting capabilities, including stakeholder and executive communication.
Experience in cloud-based analytics environments, particularly Microsoft Azure, with knowledge of model governance, MLOps, and responsible AI practices.