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Tier-1 brand, metro location, mid-level generalist data scientist role with broad skillset attracts many qualified applicants.
Core ML and data skills are transferable, though preference for financial services/consulting adds moderate domain bias.
Mandatory master's/PhD and minimum 3 years experience with required ML and data skills increases filtering rigor.
Design and develop advanced data models and machine learning algorithms to extract insights from large datasets.
Collaborate with cross-functional teams to translate data needs into actionable analytics solutions and provide technical support on data projects.
Conduct data analysis and visualization to communicate complex information and contribute to the development of data-driven products.
Master's or Ph.D. degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
Minimum 3 years of experience in a data science role, 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 applying machine learning techniques for predictive modeling and business process optimization.
Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.
Demonstrated experience delivering innovative data science solutions in dynamic, cross-functional environments.