Data Scientist

Required Skills & Qualifications:

• Experience:

  Minimum 5-8 years of experience as a Data Scientist or similar role, with a focus on NLP, machine learning, and AI. At least 3 years in a senior or lead capacity.

• NLP & Document Processing Expertise:

  Proven experience applying NLP techniques such as Named Entity Recognition (NER), Optical Character Recognition (OCR), information extraction, document classification, and semantic analysis for data extraction from unstructured text.

• Generative AI:

  Advanced knowledge of Generative AI models (e.g., GPT-3, BERT, T5) and experience applying them to real-world document and text processing tasks.

• Cloud Technologies:

  Extensive experience with cloud platforms (AWS, Azure, or GCP) for deploying data pipelines, managing machine learning models, and processing large datasets.

• Programming Skills:

  Proficiency in Python and libraries such as SpaCy, Hugging Face Transformers, TensorFlow, PyTorch, and scikit-learn.

• Data Pipeline & DevOps Tools:

  Hands-on experience with building, optimizing, and deploying data pipelines in cloud environments, including tools like Docker, Kubernetes, Apache Airflow, and MLFlow.

• Data Handling & Analysis:

  Expertise in data manipulation and analysis using tools such as Pandas, NumPy, and SQL, and ability to work with large datasets.

• Leadership & Communication:

  Strong leadership and mentoring abilities, with excellent written and verbal communication skills to explain complex technical concepts to non-technical stakeholders.

• Problem Solving:

  Exceptional problem-solving skills with a creative approach to tackling challenges related to document data extraction.

Collaboration: