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Tier-1 brand, metro location, mid-level generalist title increase applicant competition.
Core ML, Python, and Databricks skills transfer easily across industries.
Mandatory 5+ years, Databricks, ML frameworks and production model monitoring enforce strict filtering.
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Lead design, development, and monitoring of machine learning models including GLM, Generative AI, and neural networks on Databricks platform.
Own end-to-end data science process: data acquisition, EDA, feature engineering, model validation, performance monitoring, and documentation.
Collaborate with stakeholders to translate business problems into data science projects and mentor junior data scientists.
Minimum 5+ years experience in data science/model development roles.
Proficiency in Python, SQL, and experience with Databricks (mandatory).
Experience with big data platforms (Spark, Hadoop) and collaborative development using GitHub.
Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field; PhD is a plus.
Experienced in leading data science projects within cloud-based and big data environments, specifically Databricks.
Strong conceptual and practical expertise in advanced machine learning techniques including GLM, Generative AI, and neural networks.
Skilled in technical communication and mentoring, capable of influencing stakeholders and fostering a high-performing analytics team.