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Data Scientist Job Opening In WorkFromHome – Now Hiring Cobalt Finance


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.

Referrals increase your chances of interviewing at Cobalt Finance by 2x

Get notified about new Data Scientist jobs in Singapore.

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Data Scientist Potential: Insight & Career Growth Guide


Real-time Data Scientist Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Scientist in WorkFromHome, Singapore, highlighting market share and opportunities for professionals in Data Scientist roles.

5782 Jobs in Singapore
5782
116 Jobs in Workfromhome
116
Download Data Scientist Jobs Trends in Workfromhome and Singapore

Are You Looking for Data Scientist Job?

Great news! is currently hiring and seeking a Data Scientist to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Cobalt Finance adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Scientist Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in WorkFromHome. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Scientist?

Key qualifications for Data Scientist typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Scientist?

To improve your chances of getting hired for Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Scientist Job Success

Cobalt Finance interview tips for Data Scientist

Here are some tips to help you prepare for and ace your Data Scientist job interview:

Before the Interview:

Research: Learn about the Cobalt Finance's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Scientist interview at Cobalt Finance, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Cobalt Finance's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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