Data Scientist

Industry: Other
Company size: 51-250

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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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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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Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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