| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
ION Group | New York, NY, United States | $112k - $120k | |||
Kraken | Canada | $72k - $100k | |||
Binance | Taipei, Taiwan |
| |||
Integra | Remote | $21k - $52k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Integra | Remote | $79k - $85k | |||
Coinhako | Singapore, Singapore | $80k - $154k | |||
Dvtrading | Remote | $130k - $170k | |||
Launchpadtechnologiesinc | Latam | $86k - $109k | |||
Bluecubeservices | Remote | $79k - $87k | |||
DoubleZero | Remote | $84k - $100k | |||
Busha | Lagos, Nigeria | $76k - $150k | |||
Integra | Remote | $21k - $52k | |||
Integra | Remote | $79k - $87k | |||
Binance | Bangkok, Thailand |
| |||
Binance | Bangkok, Thailand |
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Lead Data Scientist, New York - Contract
Responsibilities:
- Partner with stakeholders to define data science opportunities, shape problem statements, and deliver impactful solutions.
- Lead end-to-end data science projects—from exploration and modeling to deployment and performance monitoring.
- Mentor and guide a team of data scientists and data engineers; set best practices for modeling, experimentation, and validation.
- Design and implement predictive models, optimization frameworks, and machine learning algorithms tailored to complex business use cases.
- Develop and present compelling visualizations to convey complex data relationships through clear and insightful static graphics.
- Communicate complex technical concepts clearly to senior stakeholders, clients, and non-technical audiences.
- Collaborate with Lab49’s design and engineering teams to embed data science models into scalable digital products.
- Stay ahead of industry trends, research, and emerging technologies in AI/ML, with a focus on practical business applications.
Qualifications
- 8+ years of experience in data science, including at least 2–3 years in a lead/principal role.
- Strong background in applied machine learning, statistical modeling, and predictive analytics.
- Proficiency in Python (Pandas, NumPy, Scikit-learn, Matplotlib, PyTorch/TensorFlow) and SQL; experience with big data tools (Spark, Databricks) is a plus.
- Strong understanding of model deployment, MLOps practices, and productionizing ML solutions.
- Proven ability to create effective data visualizations for storytelling and decision support.
- Excellent client-facing skills, with the ability to communicate technical concepts and business impact.
- Master’s or Ph.D. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.
Nice to Have
- Some fluency in blockchain and smart contract analytics.
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.