Data Scientist

Remote, US

Full Time Senior-level / Expert USD 180K - 260K

We’re inviting individuals with a deep knowledge in machine learning and data science to join the TipTop founding team with backgrounds in engineering, data science & product. Together we will be working on systems at the intersection of fiat and crypto. Are you a curious thinker who likes to solve complex challenges in a rewarding environment where your contributions are valued and have a direct impact?

You Will

  • Work on complex challenges building systems in the applied machine learning space
  • Define data models for optimal storage with a keen eye for model development, analysis, and optimization over time
  • Develop, train, and deploy models in the pricing, risk, and prediction space
  • Contribute to the development of consumer facing experimentation & risk platforms
  • Have the opportunity to build and lead a team

You Have

  • 5+ years of experience as a software engineer architecting, building, launching and maintaining end-to-end ML systems from whiteboard to production
  • Demonstrated ability turning business and product ideas into engineering solutions. You can go from zero to one
  • Strong knowledge of statistics and machine learning
  • Strong programming experience in Python | SQL
  • Familiarity with modern data stores, pipeline & orchestration tools, and ML frameworks

Even Better

  • Experience building experimentation frameworks
  • Experience in quantitative finance and forecasting/prediction models
  • An advanced degree (M.S., PhD.) in Mathematics, Statistics, Computer Science, Quantitative Finance, Physics, or a related technical field
  • Passion for building, bias for action, and are excited by uncertainty
  • You are autonomous & adaptable – own the work, move fast, react quickly

Tech You'll Use

  • Python
  • Go
  • SQL/Postgres
  • Dataflow / Airflow
  • DBT
  • TensorFlow/PyTorch/Spark
  • GCP

How To Apply

Send us an email with a copy of your resume or LinkedIn, your GitHub (if you’ve got one), and any projects you think we should see.


Job region: North America
Job country: United States
Job stats:  155  6  0
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