Lead Data Science Consultant – Global Payments & Liquidity
About The Position
We are seeking a visionary and hands-on Vice President-level Lead Data Scientist to join our Global Payments & Liquidity (GPL) team. In this role, you will work with senior leaders to uncover ins i ghts, solve complex problems, and build data-driven solutions that fuel growth, improve products, and deepen customer engagement . You wi ll analyze product portfolios , i denti fy strategic opportunities, and design s olutions that deepen customer relationships and accelerate GPL’s growth. In this role you will: Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives. Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models . Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions. Enforce and establish best practices related to data quality and governance. Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation. Communicate insights and recommendations clearly to both technical and non-technical stakeholders.
Requirements
- 5+ years of data science experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- 5+ years of hands-on programming using SQL
- 5+ years of Python experience
- 1+ years of experience in a leadership or mentorship role
- Must have completed a Master's degree level or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, Business Analytics, or computer science
Nice To Haves
- Prior experience supporting Agile product teams in a corporate environment
- Knowledge and understanding of banking products and services, including Transaction Services in areas such as payables and receivables and working capital solutions
- Knowledge of cloud platforms (e.g., AWS, Azure) and data visualization tools (e.g., Power BI, Tableau).
Responsibilities
- Partner and consult with business leaders to understand strategic goals and translate them into data science initiatives.
- Lead the design and implementation of complex solutions and deliverables by utilizing advanced statistical techniques and Machine learning models .
- Collaborate with data engineering and business analysts to ensure scalable and secure deployment of analytics solutions.
- Enforce and establish best practices related to data quality and governance.
- Ensure data quality, model accuracy, and reproducibility through rigorous validation and documentation.
- Communicate insights and recommendations clearly to both technical and non-technical stakeholders.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
