Data Scientist (TensorFlow)

Data Scientist (TensorFlow)

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Canada, Remote

Information Technology

Permanent

28/11/2022

199665

If you are a talented and experienced Data Scientist, Aplin has the right opportunity for you for a remote position! 
 

Responsibilities:
  • Data Engineering – the candidate will organize, manipulate, filter, and visualize a large quantity of data. He will explore data reduction techniques to optimize memory allocation and processing time and build efficient ML training and validation pipeline
  • Reinforcement Learning – the candidate will improve current RL algorithms
  • Coding – the candidate will implement his research and code in Python/TensorFlow
  • Validation and deployment - Validate and tune models, deployment of these trading algorithms preferably in C++
  • Domain Expertise – the candidate is expected to gain a deep understanding of stock markets and quantitative trading strategies
 
Required Qualifications: 
  • Ability to apply critical thinking and creative problem-solving skills. The candidate must be able to make data-driven decisions
  • Must be able to self-motivate, bring his/her skills to the next level, and must be able to learn techniques quickly and effectively, and concepts
  • Proficiency in Machine learning and Deep Learning. The candidate must have a proven track record of deploying TensorFlow models in production and producing business value 
  • Proficiency in Python and TensorFlow
  • Expertise in SQL required, experience with APIs and knowledge of AWS Athena, AWS Sagemaker, and data architecture a plus
  • Must be able to communicate effectively & proactively with the team to accomplish business objectives
  • M.S. or Ph.D. in Quantitative disciplines such as Mathematics, Physics, Statistics, Data Science, or Quantitative Finance
 
Desired Qualifications:
  • Proficiency in Reinforcement Learning (DDQN, A2C, and A3C)
  • Proficiency in C++ programming
  • Familiarity with cloud-based platforms, in particular, AWS EC2, dockers
  • Strong understanding of statistics and linear regression
  • Good knowledge of signal processing and time series analysis


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