Crypto.com is hiring a

Web3 Data Scientist, Growth Analytics - Global Fintech startup

About the company
Crypto.com was founded in 2016 on a simple belief: it's a basic human right for everyone to control their money, data and identity. With over 10+ million users on its platform today, Crypto.com provides a powerful alternative to traditional financial services, turning its vision of "cryptocurrency in every wallet" into reality, one customer at a time. Crypto.com is built on a solid foundation of security, privacy and compliance and is the first cryptocurrency company in the world to have CCSS Level 3, ISO27001:2013 and PCI:DSS 3.2.1, Level 1 compliance. Crypto.com is headquartered in Singapore with a 4,000+ strong team.

For more information, please visit www.crypto.com.

About the role
We are looking for a Data Scientist to join our Growth Analytics team, which sits in the Growth Team to support growth strategy and operations by providing business insights for management. You would be key to contributing expertise and experience in developing our advanced models. To succeed in this role, you should possess research or model development background and are familiar with the whole development process in a team setup. You would be the go-to person for data science expert knowledge.

Responsibilities

• Build predictive and machine learning models to inform business decisions, topics include but are not limited to customer lifetime value, user segmentation, budgeting and forecasting, marketing attribution model etc.
• Use the right tool and knowledge in machine learning and statistics to solve business problems
• Find the right balance between solving the problem and using advanced technology
• Act as the go-to person to influence the development process, which includes ideation, research, proof of concept, evaluation etc.
• Coach other data scientists to help the team grow and facilitate knowledge transfer
• Communicate with stakeholders in the organization such as project managers, data engineers, growth marketers and senior executives

• Preferably Msc and/or PhD in quantitative discipline such as Statistics, Economics, Engineering etc.
• 5+ years of experience in predictive modelling using machine learning and statistics in a commercial context
• Advanced knowledge in programming languages and data stack, e.g. Python/R, scikit-learn, tensorflow, AWS athena etc.
• Expert level of understanding in concepts and techniques in machine learning/statistics/econometrics
• Ability to work in a team and collaborate with people from different backgrounds
• Passion to constantly explore new technologies and fail fast to learn fast

• We offer an attractive compensation package working in a cutting-edge field of Fintech.
• Huge responsibilities from Day 1. Be the owner of your own learning curve. The possibilities are limitless and depend on you
• You get to work in a very dynamic environment and be part of an international team
• You will get to participate in developing the future of the Web building a brand new platform and ecosystem from scratch alongside a talented team

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