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Remote Data Scientist

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Nikita Tsibulsky
Must have skills:
One of skills:
Nice to have skills:
Considering candidates from:
Work arrangement: Remote
Industry: Security Systems Services
Language: English
Level: Senior or lead
Required experience: 5+ years
Size: 11-50 employees
Logo of Archipelo

Remote Data Scientist

Archipelo is building a code security platform that gives organizations the ability to verify the authenticity and provenance of code within their software development lifecycle. They are solving a painful problem that affects every software developer on the planet: ensuring software security, authenticity, integrity, and compliance - by providing the context for how the code was created.

They ensure that secure coding best practices are implemented proactively at the earliest stages of the SDLC, from research and design to development and deployment.
Right now, they are seeking a Senior Data Scientist to lead technology development on the frontier of code discovery and developer productivity. A successful applicant is an expert in data science, machine learning, and complex data analysis spanning natural language, code syntax and networks.

Depending on your skills you will either focus on GNN (graph neural networks) OR Code Representation.

Must-have skills:

  • Knowledge of microservices and cloud computing—expert in at least one cloud platform
  • Familiar with distributed systems and the orchestration of large numbers of independent commodity machines into complete, functional systems to handle diverse workloads
  • Experience building and maintaining graph neural networks (GNN) OR Formal experience with knowledge representation
  • Experience with NLP & NLU
  • Expertise performing data science research
  • Expertise writing world-class Python code
  • Experience coding in Go

Nice-to-have skills:

  • PhD in computer science, artificial intelligence, machine learning or related technical field
  • 10+ years of professional data science or software engineering experience
  • Advanced working knowledge of information retrieval and search technologies and have set up and used open-source search systems to query and understand data
  • Experience with many of the following technologies:
    • ElasticSearch, Solr and equivalent 
    • Kubernetes
    • Machine learning infrastructure
    • Deep learning
    • Relevance engineering
    • CircleCI, GitHub Actions, Jenkins or equivalent
    • Any graph database

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