Head of Data Science

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

At OKX, we believe our future is reshaped with technology.

Founded in 2017, OKX is one of the world’s largest and fastest growing cryptocurrency spot and derivatives exchanges. OKX innovatively adopted blockchain technology to reshape the financial ecosystem by offering some of the most diverse and sophisticated products, solutions, and trading tools on the market. Trusted by more than 20 million users in over 180 countries globally, OKX strives to provide an engaging platform that empowers every individual to explore the world of crypto. In addition to its world-class DeFi exchange, OKX serves its users with OKX insights, a research arm that is at the cutting edge of the latest trends in the cryptocurrency industry. With its extensive range of crypto products and services, and unwavering commitment to innovation, OKX’s vision is a world of financial access backed by blockchain and the power of decentralised finance.

We invest in our people as much as we invest in the technology. We are united by our engaging culture, here we win as a team, embrace changes, and do the right thing. We are committed to creating a friendly, rewarding and diverse environment for OKers. It doesn’t matter where you come from, everyone feels valued here, respected and has the same opportunities to develop and thrive — we want to bring out the best in you. We have offices in San Francisco, Malta, Hong Kong, Singapore, Japan, and Korea, but we believe in you working wherever you work best.

About the team:

You will take charge of the core end-to-end data science team, from business intelligence to product experimentation on our analytics platform. You will be responsible for democratising insights about our core businesses, collaborating with cross-functional teams and business leaders to define, measure and understand key metrics, influence business strategy through data, inform product roadmap, and significantly impact the business bottom-line. To achieve this, you’ll manage the analytics team, up level the team’s capabilities through emphasis on causal inference, instrumentation, experimentation, infrastructure readiness, data integrity and governance. You will drive a culture of excellence to demonstrate what great insights and quality looks like. You will collaborate closely with engineering in defining the data collection needs, the data schema, in order to guarantee that there is high data quality and reliability across the business. If you’ve got an analytics superpower, and are excited about leading through insights, and achieve fundamental disruptive impacts, we’d love to hear from you!

Responsibilities:

• Work closely with the data scientists and analysts to architect and develop the best technical design and approach.
• Instil best practices for data analysis and documentation, assure designs meet requirements and deliver high-quality work on tight schedules.
• Manage departmental resources, staffing and mentoring and enhance and maintain a best-in-class data science team.
• Report on status of development, quality, operations and system performance to management.
• Define and execute a plan to better understand and maximise measurable drivers of our business.
• Collaborate with cross-functional stakeholders and leadership to set company-wide strategy based on data-driven insights across product, marketing, compliance, and others.
• Improve our ability and ease to ask and answer questions based on data with a combination of qualitative and quantitative information.
• Manage a growing team of analysts to build and reinforce data-driven culture, democratise access to insights, and up level the team’s ability to derive business insights to drive business results and strategy.
• Scale and up level the data team by hiring, improving our onboarding program, building culture of excellence, and mentorship.
• Collaborate with marketing, product, compliance, and other teams.
• Oversee the design and delivery of reports and insights that analyse business functions and key operations and performance metrics.
• Manage and optimise processes for data instrumentation, validation, mining and engineering as well as modelling, visualisation and communication deliverables.
• Oversee the data/report requests process: tracking requests submitted, prioritisation, approval, etc.
• Develop and implement quality controls and departmental standards to ensure quality standards, organisational expectations, and regulatory requirements.
• Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.
• Be an engaged coach, mentor, and partner to the Data Science team.
• Actively engage with stakeholders to understand their processes, areas of growth, and points of unnecessary complexity.
• Identify technical capabilities that can enable business growth, reduce complexity, and improve productivity.
• Ensure the products your team builds are straightforward to use and have customer-centric user interfaces.
• Make decisions on how to accomplish and prioritise features, functions, and new capabilities.
• Create and develop teams with clear technical vision and leadership for existing and future products.
• Continuously monitor new technologies and evaluate their potential use.
• Serve as a sounding board to the leadership team, including the head, VP and CEO.

Qualifications:

• Bachelor degree in Business, Economics, Statistics, Data Science, Data Mining, or similar quantitative field.
• Proven successful and trackable experience in Analytics, Data Science or other quantitative disciplines
• Proven successful and trackable experience leading a data science team or mentoring other analysts.
• Exceptional ability to translate between business and technical audiences, especially in summarising highly technical analyses to non-technical audiences.
• Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
• Proven proficiency in Hive, SQL and other quantitative field.
• Solid knowledge and skills in Hadoop, Hive, Spark, HBase and other similar quantitative tools.
• Deep understanding of machine learning algorithms including GBM, XGBoost, LGBM, etc.
• Advanced programming skills of at least on statistical/analytical programming language(SQL, R, Python, etc.).
• Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
• Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
• Strong problem solving, quantitative and analytical abilities.
• Strong ability to plan and manage numerous processes, people and projects simultaneously.
• Excellent communication, collaboration and delegation skills
• Ability to actively coach, develop and hire teams in multiple locations.
• Has run multi-tiered organisations with senior leaders under them.
• Customer-facing experience is essential, along with excellent customer intuition.
• Focused, attention to detail, and process-oriented.
• Prior hands-on software development experience.