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Data Scientist

Salary undisclosed

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Responsibilities

  • Develop and implement machine learning models for time series forecasting
  • Work on NLP projects, including speech-to-text applications
  • Assist in building and maintaining conversational AI systems
  • Process and analyze data to extract meaningful insights
  • Create and maintain data pipelines
  • Develop clear documentation and reports
  • Collaborate with team members on code review and implementation
  • Participate in the full project lifecycle, from conception to deployment

Requirements

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
  • 1-2 years of professional experience in data science or related field
  • Strong programming skills in Python
  • Proficiency with common data science libraries (pandas, numpy, scikit-learn)
  • Basic understanding of SQL
  • Familiarity with version control (Git)
  • Strong analytical and problem-solving skills
  • Good communication skills
  • Eagerness to learn and adapt to new technologies

Relevant Technical Areas

  • Time Series Analysis & Forecasting
  • Natural Language Processing (NLP)
  • Speech-to-Text Processing
  • Large Language Models and RAG (Retrieval-Augmented Generation)
  • Machine Learning & Deep Learning
  • Data Analytics and Visualization

Preferred Qualifications

Experience with any of the following:

  • Time series libraries (Prophet, statsmodels)
  • NLP libraries (NLTK, spaCy, transformers)
  • Speech processing libraries (librosa, SpeechRecognition)
  • LLM frameworks (LangChain, LlamaIndex)
  • Basic understanding of deep learning frameworks (PyTorch or TensorFlow)
  • Experience with data visualization tools
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Previous internship or project experience in related areas