Manager, Data Science & Analytics Consulting (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Manager, Data Science & Analytics Consulting (Fintech): Managing and delivering end-to-end analytics projects to provide actionable insights for clients with an accent on machine learning and big data processing. Focus on developing scalable ML solutions, optimizing predictive models using XGBoost, and leveraging PySpark for large-scale data aggregation.
Location: Hybrid in Singapore
Company
is a world leader in payments technology, facilitating transactions across more than 200 countries and territories.
What you will do
- Manage analytics projects from conception to completion, delivering actionable insights and recommendations.
- Design and execute frameworks using Net, non-traditional data, and new modeling techniques.
- Develop metrics and dashboards to monitor progress across markets and segments.
- Act as a data science advocate, coaching analytical teams and sharing best practices.
- Collaborate with cross-functional teams to build automated, reusable, and scalable solutions.
Requirements
- 5+ years of experience and a Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field.
- Proficiency in Python, PySpark, and ML libraries, specifically strong experience with XGBoost.
- Expertise in the full ML lifecycle, including data hygiene, EDA, hypothesis formulation, and model reporting.
- Strong skills in big data aggregation using Hive, Spark, SQL, and R/Python.
- Experience planning and managing multiple analytic projects with cross-functional stakeholders.
Nice to have
- Experience with AWS or other cloud environments.
- Development of Generative AI and Agentic AI solutions.
- Expertise in geospatial data analysis.
- Background in Banking, Payment, or e-Commerce industries.
Culture & Benefits
- Opportunity to create impact at scale within a world-leading payments company.
- Collaborative environment focused on tackling meaningful global challenges.
- Hybrid work model with office attendance confirmed by the hiring manager.
- Commitment to diversity, equity, and inclusion as an EEO employer.
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