Data Science Expert
23 hours ago
Job Title: Data Science Expert
">Overview: People Tech Group Inc. is seeking a skilled Data Scientist with 3+ years of experience to develop and implement analytical models, perform deep analyses, and derive actionable insights from complex data sets.
">Key Responsibilities:
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- Data Analysis and Modeling: Design, build, and deploy machine learning and deep learning models using Python, SQL, and related tools for data manipulation and analysis.
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- Natural Language Processing: Apply advanced NLP techniques using libraries such as SpaCy, NLTK, and Transformers for tasks like text classification, sentiment analysis, and named entity recognition.
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- Computer Vision: Implement computer vision solutions to analyze and interpret visual data.
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- Data Visualization: Create visualizations and dashboards to effectively communicate insights using tools like Matplotlib, Seaborn, or similar.
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- MLOps: Develop and manage MLOps pipelines for model deployment and monitoring using AWS, Docker, and FastAPI.
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- Generative AI and RAG: Work on generative AI models and retrieval-augmented generation (RAG) techniques, leveraging frameworks such as LangChain and Hugging Face.
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- Vector Databases and Multi-Model Approaches: Utilize vector databases and multi-vector methods to enhance retrieval and similarity tasks.
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- Knowledge Graphs and Advanced RAG: Incorporate knowledge graphs and advanced RAG strategies for improved data retrieval and information extraction.
Requirements:
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- Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
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- 3+ years of professional experience in data science or a similar role.
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- Proficiency in Python and SQL.
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- Solid experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch).
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- Experience with NLP techniques and tools (e.g., SpaCy, NLTK).
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- Hands-on experience in data visualization and interpretation.
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- Basic understanding of MLOps practices and tools (e.g., AWS, Docker).
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- Familiarity with generative AI models and RAG techniques.
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- Knowledge of vector databases and multi-vector approaches.
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- Ability to work effectively in a collaborative team environment.
Salary Range: $120,000 - $180,000 per annum.
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