Manager, Data Science & Analytics Consulting (AI)

Location: Singapore; hybrid work with office attendance determined by the hiring manager

Company

hirify.global is a global payments technology company facilitating transactions between consumers, merchants, financial institutions, and governments across more than 200 countries and territories.

What you will do

• Manage analytics projects from conception through delivery, providing actionable insights and recommendations.
• Define project scope and methodology, design solutions, and execute analytical frameworks using appropriate tools and techniques.
• Use hirify.globalNet, non-traditional data, and new modeling techniques to develop client-focused analytics solutions.
• Develop consistent metrics and dashboards to quantify performance and monitor progress across markets and segments.
• Advocate for data science best practices by advising, coaching, and sharing methodologies and case studies with analytical teams.
• Collaborate with cross-functional stakeholders to build and automate reusable, scalable solutions.

Requirements

• 5+ years of experience and a bachelor’s degree in data science, computer science, computer engineering, mathematics, or a related analytical field.
• Hands-on experience delivering end-to-end machine learning and data science projects and scaling data solutions.
• Experience with Python, common machine learning libraries, PySpark, Jupyter notebooks, Hive, Spark, SQL, and R/Python.
• Strong experience with XGBoost and statistical and machine learning techniques including regression, decision trees, random forests, neural networks, classification, and predictive modeling.
• Knowledge of data hygiene, exploratory data analysis, hypothesis formulation, sampling, feature selection, model validation, and outcome reporting.
• Experience planning and managing multiple analytics projects with diverse cross-functional stakeholders and external clients.

Nice to have

• Experience with AWS or other cloud environments.
• Experience developing and applying Generative AI and Agentic AI solutions.
• Experience with geospatial data analysis.
• Banking, payments, or e-commerce industry experience.

Culture & Benefits

• Hybrid work arrangement with office attendance agreed with the hiring manager.
• Opportunity to work on payments technology serving more than 200 countries and territories.
• Cross-functional and matrixed collaboration with internal teams and external clients.
• Focus on continuous learning, innovation, and sharing analytics best practices.