Scala Jobs at OP Labs

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Job Position Company Posted Location Salary Tags

OP Labs

Remote

$90k - $97k

Staff Data Scientist

OP Labs
$90k - $97k estimated

This job is closed

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.