OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
About the Opportunity
You will be the member of the core end-to-end AI team, from BI to AI. You will be responsible for democratising insights on our core businesses, collaborating with cross-functional teams to define, measure and understand key metrics, influence business strategy and product roadmap through data, deliver analysis reports and models, empower our products and services with data-driven and AI-driven approaches, and significantly impact the business. You will collaborate closely with the engineering team, product team and other stakeholders in defining the data collection needs, the data schema, the data analysis, the model training and the model deployment.
What You’ll Be Doing
Work on large-scale structured and unstructured data sets to solve a wide array of challenging problems using analytical, statistical, machine learning or deep learning approaches.
Work with stakeholders from different departments to understand their business needs and challenges, architect and design analytics solutions to meet business objectives and support business decision making.
Collaborate with cross-functional stakeholders to provide strategies based on data-driven insights across product, marketing, compliance, and others.
Define, understand, and test external/internal opportunities to improve our products and services.
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics.
Develop data models, data automation systems, performance metrics, and reporting systems, and track impact over time.
Deliver Machine Learning projects from beginning to end. This includes understanding the business need, planning the project, aggregating & exploring data, building & validating models, and deploying ML models to deliver business impact.
Improving upon existing machine learning methodologies by developing new sources, developing and testing enhancements, running computational experiments, and fine-tuning parameters.
Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company
What We Look For In You
More than 8 years of industrial experience, with deep knowledge of recommendation systems, with at least 3-year experience of team leading.
Proven successful and trackable experience in an analytical role or data scientist role involving extraction, analysis, and/or modeling.
Solid experiences in SQL, familiar with SQL functions such as window functions and aggregate functions.
Solid experiences in Python, familiar with data analysis libraries such as pandas, numpy, matplotlib, scikit-learn, etc.
Experience in using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
Experience in developing production-grade ML systems including exploratory analysis, feature engineering, hyperparameter tuning, model training, model selection, creating data pipelines, etc.
Experience in working with deep learning frameworks such as PyTorch for real world problems.
Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.
Nice to Haves
Master & Above in Machine Learning, Applied Mathematics, Statistics, Data Mining, Computer Vision, Computer Science,Business, Economics, or other quantitative fields.
Experience using analytics techniques to contribute to company growth or increasing revenue and other key business outcomes is a big plus.
Experience in FinTech, eCommerce, SaaS, AdTech, or Digital Wallet business industries.
Experience in big data tools such as Amplitude, DataWorks, MaxCompute, Hadoop, Hive, Spark and HBase is a big plus.
Experience with application development practices at scale
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
