OP Labs is hiring a Web3 Staff Data Scientist
Compensation: $90k - $97k estimated
Location: Remote
What are the role responsibilities?
- Analyze large datasets to extract meaningful insights and identify trends across all blockspace
- Develop and implement machine learning models to predict market movements, detect anomalies, and enhance trading strategies.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Design and build data pipelines to collect, clean, and preprocess data from various sources.
- Perform statistical analysis and hypothesis testing to validate model performance and accuracy.
- Create data visualizations and dashboards to communicate findings to stakeholders.
- Stay up-to-date with the latest developments in blockchain technology and data science methodologies.
- Conduct research and experiments to explore new opportunities and improve existing models.
- Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.
What skills do you bring?
- 7+ years of professional data science experience
- A PhD or MS in a quantitative field (e.g., Computer Science, Statistics, Economics, Sciences, Engineering)
- Strong track records of designing, prototyping, scaling and launching data science products to solve business problems.
- Experience collaborating with and understanding the needs of stakeholders from a variety of business functions and ability to work with domain experts to leverage their expertise into your solution
- Strong coding skills in general purpose languages like Scala or Python, and familiarity with software engineering principles around testing, code reviews and deployment.
- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
- Experience with web3 and blockchain protocols is a plus.
- Self-starter who takes ownership, gets results, and enjoys the autonomy of architecting from the ground up.
Apply Now:
This job is closed
Compensation: $90k - $97k estimated
Location: Remote
This job is closed
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