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Tier-1 brand, popular Data Scientist title, mid-level experience, metro location, and broad skill requirements.
Core ML/data skills transfer across industries, though financial-services preference increases domain specificity moderately.
Explicit minimum experience, required domain experience, degree preference, and specific tech stack increase strictness.
Develop and implement advanced analytics solutions including robust data models and machine learning algorithms to extract insights from large datasets.
Collaborate with cross-functional stakeholders to understand data requirements and translate them into actionable analytics solutions.
Provide technical support and contribute to data-driven product development enhancing company’s competitive advantage.
Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, or related quantitative field.
Minimum 3 years experience in data science, preferably in financial services or consulting.
Strong programming skills in Python, R, or similar languages for data analysis and modeling.
Proficiency in data visualization tools such as Tableau or Power BI.
Experience working in financial services or consulting environments indicating ability to handle domain-specific challenges.
Demonstrated capability to translate complex data needs into actionable analytics solutions and effectively communicate findings to varied audiences.
Proactive in staying updated with latest data science and machine learning technologies and applying them to business problems.