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Senior Data Scientist | Remote | 918

  • Position: Senior Data Scientist
  • Location: Remote
  • Contract type: B2B

About

Our client is building an intelligent code discovery platform that provides the best tools for developers to discover code in any form—and benefit through insights, recognition, and greater productivity. They are transforming code search to improve the practice of modern programming—using a graph-based approach drawing on data from the entire open source ecosystem. The mission is to build the world’s best code discovery engine. The company is well-funded by top investors in Silicon Valley, including the first investors of Google, Twitter, Zoom, LinkedIn, and Uber. The team has backgrounds from NASA, LinkedIn, Facebook, Amazon, AWS, Cisco and MIT, Harvard, Stanford, and Berkeley. The headquarters are in San Francisco, California. They are building a globally distributed, remote-first team.

Description

We are seeking a Senior Data Scientist to lead research and 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. You will help the team identify, analyze, and process large heterogeneous data sets. You will develop prototypes, tools, and methods that inform decision-making for software developers (e.g. “Is this the right solution to my coding problem?” or “How do I implement this specific code in my application?” or “What code libraries are other developers using to solve my problem?”).

Who Will Love This Job

The ideal candidate is excited to lead the direction of technology and product development. You are an explorer, looking to help developers discover code in any form and improve their productivity. You analyze complex datasets to find important signals that help developers write better code. You are passionate about using machine learning to empower better software development.

Responsibilities

  • Build complete data processing systems that drive products, systems or applications
  • Lead experimentation processes that accelerate prototyping and maximize resource utilization
  • Building and maintaining graph neural networks
  • Process data pipelines for machine learning operations: scheduling, ETL, dataflow programming, SQL, data labeling, representation learning, hyperparameter tuning, and model management
  • Produce and deploy internal and external APIs
  • Design and implement predictive models on multiple decision platforms
  • Apply the latest techniques from research and academia to real world problems in production environment
  • Review code, mentor other engineers and support the data team
  • Attract, recruit and retain top engineering and scientific talent

Minimum Qualifications

  • 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)

Preferred Qualifications

  • PhD in computer science, artificial intelligence, machine learning or related technical field
  • 10+ years of professional data science or software engineering experience
  • Experience with Natural Language Processing and Understanding (NLP & NLU)
  • 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

What We Offer

You have the opportunity to join an early-stage startup and have significant ownership of critical technical components. You will work at the highest level and collaborate with world-class advisors and technical experts. The team is growing rapidly and we hope you’ll grow with them, too

  • Competitive salary & equity packages
  • Flexible medical, dental, and vision benefits for you and your family
  • Unlimited vacation and sick leave
  • Strong remote work culture that includes group activities and local gatherings

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