AI Scientist/Engineer

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa

At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.

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.

• 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.

• Bachelor degree in Business, Economics, Statistics, Data Science, Data Mining, or similar quantitative field.

• 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.

• Knowledge of Computer Science fundamentals such as object-oriented design, graph algorithm, algorithm design, data structures, problem solving and complexity analysis.

• Self-driven, innovative, collaborative, with good communication and presentation skills, able to translate between business and technical audiences.

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