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Tier-1 brand, metro location, popular Data Scientist title and broad skill requirements drive high competition.
Core AI and big-data skills transfer across industries, though finance domain knowledge moderately raises sensitivity.
Requires Master's/PhD and extensive specialized AI, big data, cloud and programming skills, so filters are strict.
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Lead data science and data engineering components of AI projects, setting strategic direction for data activities.
Manage and execute data analysis across multiple projects with complex business and technical challenges.
Develop best practices and guidelines for data science lifecycle and evaluation of new analytical tools and platforms.
Extensive experience in statistics, machine learning, deep learning, and handling varied data types including structured, unstructured, voice, image, and video data.
Proficiency in programming languages such as Python, Java, C, or C++, and experience with Big Data platforms like Spark and cloud platforms like AWS.
Master's Degree or PhD in quantitative fields like Computer Science, Economics, Engineering, Statistics, Mathematics, Finance, or Operations Research.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working with senior stakeholders and multiple teams in ambiguous and complex environments.
Expertise in advanced AI techniques, including deep learning and genetic algorithms, with prior roles involving predictive modeling and advanced analytics.
Ability to communicate analytical results effectively to business stakeholders to provide actionable insights.