Data Scientist
Salary undisclosed
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Responsibilities
Experience with any of the following:
- 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
- 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
- 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
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
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