Senior Data Scientist - AI Labs

• Lead Generative AI projects within cross-functional teams, driving innovation and business impact.
• Develop and deploy predictive models using Python or R and libraries such as pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch, or Keras.
• Apply advanced machine learning algorithms and statistical modeling techniques to solve business problems.
• Work extensively with Natural Language Processing (NLP) frameworks like NLTK, SpaCy, Gensim, and transformer models (e.g., BERT, GPT).
• Implement text analytics techniques including topic modeling, sentiment analysis, and text classification.
• Utilize SQL and NoSQL databases for data extraction and management.
• Create compelling data visualizations using tools like Matplotlib, Seaborn, or Tableau.

Secondary Responsibilities

• Contribute to multiple data analysis projects, with a strong focus on text-based data.
• Build, validate, and deploy predictive models tailored to unstructured text datasets.
• Handle large-scale text data, including cleaning, preprocessing, and feature engineering.
  • Collaborate with BI analysts and engineers to prototype and present data science solutions.