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Business Intelligence/ Data Analytics Manager

Singapore Full-time Data Science Manager
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Original posting on LinkedIn

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, and more. Our mission is to increase the freedom of money and financial access for people around the world.

Responsibilities

Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
Be part of a fast-paced industry and organisation where time to market is critical

Requirements

Degree in a quantitative discipline, such as Mathematics/Statistics, Actuarial Sciences, Computer Science, Engineering, or Life Sciences
Experience in an Analytics or Data Science role
A self-driven team player with the ability to quickly learn and apply new tools and techniques such as proprietary analytical software, data models and programming languages
A natural curiosity to identify, investigate and explain trends and patterns in data and an ability to analyse and break down complex concepts and technical findings into clear and simple language for communication
Prior internal/client-facing consulting/business transformation experience preferred.
A passion for Emerging Technologies related to Blockchain, Machine Learning and AI

Competency In Two Or More Of The Following

An analytical software (e.g. R, SAS)
A data visualisation tool (e.g. Qlikview, Tableau, PowerBI,)
A relational or graph database management tool (e.g. SQL, NoSQL, Neo4J)
Programming (e.g. VBA, C++, Java, Python)

Why Binance

Shape the future of finance
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle challenging projects in a fast-paced and innovative enviornment with autonomy
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Remote-first, work-from-home arrangement (may vary depending on the nature of the role and team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

By submitting a job application, you acknowledge that you have read our Candidate Privacy Notice.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
FAQ

Frequently asked questions

Who offers this Data Science Manager role in Singapore?

The role is posted by Binance from LinkedIn. aiManagerJobs is a directory that collects, structures and links to the original source, it is not the employer. Hiring is handled by the company.

What type of role is it?

This is a data science manager position on a full-time basis in Singapore. The exact schedule and conditions are in the original posting from the company.

How do I apply for this role in Singapore?

Use the apply button to go to the original source (LinkedIn) and follow the company instructions. You can also create an alert and receive new Singapore roles by email.

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