Data Scientist
- Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from more senior resources
- Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling data from standard and new data sources
- Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions.
- Works on moderate complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc.
- Package, summarize and visualize analytical findings and results for management
- Support existing product set - QC efforts and reporting, ad-hoc analysis for clients and client legal/compliance
- Bachelor's degree in a STEM field or equivalent.
- 2-5 years of analytical experience, including designing and developing predictive models.
- 2+ years of experience with SQL and python or similar programming languages.
- Cloud certification highly desirable.
- Additional role-based certifications may be required, varying by region and business unit.
- Master’s degree or higher in Mathematics, Computer Science , Engineering, Operations Research, Statistics or other related discipline a definite plus
- Experience in financial domains is a plus
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