Data Scientist

Cobalt Finance; Singapore; Remote; SGD 103,000 - 156,000; Full time

Job summary

A leading fintech company is seeking a mid-senior Data Scientist to drive analytics and build a high-performing data science team. This fully remote role allows for collaboration across time zones. The ideal candidate has a strong background in applied data science and a strategic mindset to identify analytical opportunities. The position offers competitive compensation and growth opportunities in a cutting-edge environment.

Benefits

Competitive compensation

Remote-first culture

Growth opportunities

Qualifications

• Proven track record in applied data science, preferably delivering analytics solutions.
• Experience building and scaling data science teams.
• Strong understanding of statistical methods and machine learning techniques.

Responsibilities

• Build and lead our data science organization.
• Own the full analytics lifecycle from problem formulation to deployment.
• Develop and execute analytics strategies for new products.

Skills

Applied data science

Machine learning techniques

Statistical methods

Excellent communication skills

Strategic thinking

Self-motivated

Blockchain analytics

Education

Advanced degree in Computer Science, Statistics, Mathematics, Econometrics or related quantitative field

Job description

Cobalt Finance builds institutional-grade blockchain intelligence products, empowering the world’s leading institutional investors, protocols, and companies through a proprietary database, research call marketplace, and computational analysis. Headquartered in Singapore and incubated by former Coinbase CTO Balaji Srinivasan's Network State, Cobalt Finance delivers qualitative and quantitative alpha from C-suite executives and core developers spanning influential protocols and companies, such as Bitcoin, Ethereum, Solana, Coinbase, Hyperliquid, Binance, and Tether.

Role Description

This is a full-time remote role for a Data Scientist. You will be responsible for driving analytical insights and data-driven decision-making, building and managing a high-performing data science team, developing analytics strategies and frameworks, and delivering actionable intelligence to institutional clients. The Data Science Lead will work closely with product, engineering, and leadership teams to identify analytical opportunities, establish best practices for data science workflows, and scale our analytics capabilities in the blockchain intelligence space.

What you'll do

• Build and lead our data science organization, establishing methodologies, frameworks, and best practices for institutional-grade analytics and insights
• Own the full analytics lifecycle from problem formulation to deployment, working with institutional investors, funds, and blockchain professionals to deliver data-driven solutions
• Develop and execute analytics strategies for new products and market segments, translating business needs into technical requirements
• Collaborate with product and engineering teams to refine data pipelines, feature development, and model deployment strategies
• Drive measurable impact through predictive models, statistical analysis, and machine learning solutions while maintaining the rigor and interpretability our institutional clients expect

What we're looking for

• Proven track record in applied data science, preferably delivering analytics solutions to institutional clients or enterprise customers
• Experience building and scaling data science teams and establishing ML/analytics processes from early stages
• Strong understanding of statistical methods, machine learning techniques, experimentation frameworks, and model evaluation metrics
• Excellent communication skills with ability to translate complex technical concepts for C-level executives and decision-makers
• Strategic thinking with the ability to identify high-impact analytical opportunities and deliver end-to-end solutions
• Self-motivated and able to thrive in a remote, fast-paced environment
• Experience in blockchain analytics, fintech data science, or SaaS analytics platforms is a plus
• Advanced degree (Master's or PhD) in Computer Science, Statistics, Mathematics, Econometrics or related quantitative field preferred

Why Cobalt Finance?

• High-Impact Work: Your designs will be used by leading institutional investors and the world's most influential blockchain protocols
• Innovation at the Frontier: Work at the intersection of institutional finance and cutting-edge blockchain technology
• Remote-First Culture: Work from anywhere with flexible hours and a globally distributed team
• Growth Opportunity: Shape design culture and build a world-class design team as we scale
• Competitive Compensation: Industry-leading salary, equity, and benefits package

Location and work arrangement

Fully remote. While we're headquartered in Singapore, we welcome talented data scientists from around the world. Team collaboration occurs across time zones with overlapping core hours.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology