Full-timeTech & engineering· Posted 7 Jun

Manager, Data Science & Analytics Consulting

VisaFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

Visa is hiring a manager to lead data science and analytics consulting work, delivering projects for clients across markets and segments. You will join a cross-functional team in a hybrid setup, and the role suits someone with strong machine learning and stakeholder management experience who enjoys coaching others.

What you'll do

Manage and deliver analytics projects from start to finish, producing actionable insights and recommendations
Define scope and methodology, design solutions, and execute them using suitable tools and techniques
Seek out innovation opportunities using VisaNet, non-traditional data and new modelling approaches suited to client needs
Improve existing analytic techniques by promoting new methodology and best practices

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Develop metrics and dashboards to measure current state and track progress across markets and segments with consistent definitions

Advocate for data science with partners, advising and coaching analytical teams and sharing best practices and case studies

Work with cross-functional teams to build and automate reusable, scalable solutions

Good to know

This is a hybrid position; days in office will be confirmed by your hiring manager

Requirements

At least 5 years of relevant experience plus a bachelor's degree in an analytical field such as data science, computer science, computer engineering or mathematics
Python experience with common ML libraries and PySpark, plus familiarity developing in Jupyter notebooks
Strong experience with XGBoost and solid understanding of training, validation and test splits and feature selection
Proficiency in the ML training lifecycle: data hygiene, EDA patterns, hypothesis formulation, sampling and model outcome reporting
Hands-on experience developing machine learning solutions and delivering end-to-end data science projects at scale
Proficiency in statistical techniques such as regression, decision trees, random forests and neural networks

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Manager, Data Science & Analytics Consulting

About the role

What you'll do

Good to know

Requirements

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