Data Scientist

Industry: Biotechnology
Remote
Company size: 1-10
Full-time
salary
Not disclosed

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Job description

A rapidly growing AI company combining scientific prowess, a focus on impact, and entrepreneurial competence is looking for a Data Scientist. The selected candidate will work closely with experts on various unsolved mysteries and devote a substantial amount of time to research. The organization has been blending cutting-edge AI tech with the latest insights from natural sciences. This will be a full-time role that can convert to a long-term position. It requires an overlap with the CET timezone.

 

Job Responsibilities:

  • Create, improve, and train new deep-learning model variants
  • Design, run and enhance the ML pipeline for both models and datasets with data provenance control
  • Own initiatives from inception to completion - always influencing research from beginning to end
  • Internally and externally, communicate data-driven insights and recommendations to key stakeholders.

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of relevant experience as a data scientist
  • Must have experience in Python, AI/ML, and DevOps
  • Knowledge of multitasking neural networks and transformers is a must
  • Nice to have a Natural Sciences background
  • Familiarity with Visual/Vision Transformers is nice to have
  • Knowledge of Q-Learning and multi-agent modeling is a plus
  • Designing, constructing, and transitioning deep neural networks to production is a must
  • Critical thinking and unbiased analysis abilities
  • Experience with cross-functional collaboration, preferably in research 
  • Written and verbal communication

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In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

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