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Data Scientist

Industry: Other
Remote
Company size: 51-250
Full-time

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Job description

A Silicon Valley-based company that leverages the power of AI and Machine Learning techniques to provide cost-effective and innovative solutions is looking for a Data Scientist. The selected candidate will join the team and utilize expert skills to create cutting-edge ML models that can extract new data signals and make insightful, actionable, and customer-friendly predictions. The company is trusted by some of the world’s leading enterprises and operates as a support experience platform to predict and prevent customer escalations, along with growing revenue. This is a full-time, long-term opportunity for those who want to join a well-funded company and contribute to unlocking maximum value for customers.

 

Job Responsibilities:

  • Research and develop new ML and NLP models and features, emphasizing on enhancing value for customers and developing intellectual property (IP) 
  • Integrate well and collaborate with the team to effectively convert models and features from research/notebooks to production settings
  • Modify and scale the performance of existing models in a production setting by leveraging new approaches, features, and user feedback and/or telemetry
  • Discover, explore, clean, evaluate, and prepare new data sources for use in higher-order analysis or as input into different ML models
  • Work actively with members of the ML, engineering, product, and customer-facing teams to identify external constraints with the actual modeling, analysis, and/or visualization approaches
  • Present results of the research and/or analysis, typically using data visualization techniques to a broad audience

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Mathematics, Computer Science (or equivalent experience)
  • At least 6+ years of relevant professional software development experience 
  • 4+ years of experience as a full-time data scientist, machine learning researcher, or engineer
  • Fluency in Python and Jupyter notebooks
  • Experience with common Python data science libraries such as Pandas, Numpy, and Scikit-learn
  • Knowledge of various machine learning techniques (NLP, Clustering, Decision Tree Learning, Artificial Neural Networks, etc.) and their real-world advantages and drawbacks
  • Experience with querying and using SQL
  • Great interest and passion to contribute in a fast-paced startup environment
  • Professional experience with NLP, especially transformers and/or transfer learning of pre-trained language models
  • Proficiency with Deep Learning and Python Deep Learning frameworks such as Pytorch or Tensorflow is desirable
  • Experience with model management and deployment
  • Familiarity with Docker and SQLAlchemy

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