Senior Data Scientist

Key Responsibilities:

1. NLP Model Development:

- Design, develop, and implement advanced NLP models for text analysis, sentiment classification, named entity recognition, and topic modeling.

- Build and optimize NLP pipelines for data preprocessing and feature extraction.

2. Language Generation:

- Develop and fine-tune generative models to create and complete text, with a focus on chatbots, content generation, and virtual assistants.

- Explore and experiment with state-of-the-art generative AI techniques.

3. Conversational AI:

- Design and deploy conversational AI systems, including chatbots and virtual assistants, by incorporating natural language understanding and generation.

4. Text Classification and Sentiment Analysis:

- Apply NLP methodologies to text classification and sentiment analysis tasks, enhancing our data-driven decision-making processes.

5. Generative AI Applications:

- Create and evaluate AI applications that leverage generative AI models, such as GANs and language models like GPT-3 and BERT.

6. Ethical AI:

- Address ethical considerations and biases in AI and NLP applications, ensuring responsible AI development and deployment.

7. Research and Innovation:

- Stay updated on the latest advancements in NLP and Generative AI research, and contribute to innovative projects in these fields.

8. Collaboration:

- Collaborate with cross-functional teams to integrate NLP and Generative AI solutions into products and services.

- Communicate complex technical concepts to non-technical stakeholders.

Qualification

• 3-6 years of experience in data science, building hands-on ML models

• Experience leading the end-to-end design, development, and deployment of predictive modeling solutions.

• Excellent programming skills in Python. Strong working knowledge of Python s numerical, data analysis, or AI frameworks such as NumPy, Pandas, Scikit-learn, Jupyter, etc

• Knowledge of predictive/prescriptive analytics including Machine Learning algorithms (Supervised and Unsupervised) and deep learning algorithms and Artificial Neural Networks

• Experience with Natural Language Processing (NLTK) and text analytics for information extraction, parsing and topic modeling (Preferred)

• Excellent verbal and written communication. Strong troubleshooting and problem-solving skills. Thrive in a fast-paced, innovative environment

• Experience with data visualization tools PowerBI, Tableau, R Shiny, etc preferred