NLP Data Scientist

Sedric’s award-winning compliance excellence platform ensures consumer protection, minimizes risks, and expedites growth for fintech companies by offering off-the-shelf guidelines and AI-based detection mechanisms that alert stakeholders in real-time on violations and risks and provide suggestions for remediation steps.


Responsibilities:

  • Study and transform data science prototypes
  • Design NLP applications
  • Select appropriate annotated datasets for Supervised Learning methods
  • Use effective text representations to transform natural language into useful features
  • Find and implement the right algorithms and tools for NLP tasks
  • Develop NLP systems according to requirements
  • Train the developed model and run evaluation experiments
  • Perform statistical analysis of results and refine models
  • Remain updated in the rapidly changing field of machine learning

Requirements:

  • 2+ Years of proven experience as an NLP Engineer or similar role
  • Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modeling.
  • Ability to effectively design software architecture
  • Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis etc), statistics and classification algorithms
  • Knowledge of Python, Java and R
  • Ability to write robust and testable code
  • Experience with machine learning frameworks 
  • Strong communication skills
  • An analytical mind with problem-solving abilities
  • Degree in Computer Science, Mathematics, Computational Linguistics or similar field.


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