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.

Qualifications:

- Masters in a quantitative field (e.g., Computer Science, Statistics, Mathematics).

- Proven experience as a Data Scientist with a focus on NLP and Generative AI, including successful project implementations.

- Expertise in NLP libraries and frameworks (e.g., NLTK, spaCy, Transformers) and deep learning libraries (e.g., TensorFlow, PyTorch).

- Strong coding skills in Python and proficiency in SQL.

- Solid understanding of generative models and their applications.

- Ability to design and deploy conversational AI systems.

- Strong problem-solving skills and the capacity to work on complex, challenging tasks.

- Excellent communication skills for conveying technical concepts to diverse audiences.

Additional Skills (Preferred but not Mandatory):

- Experience with big data technologies (e.g., Hadoop, Spark).

- Knowledge of cloud platforms (e.g. Google Cloud).

- Familiarity with database systems and data warehousing.

If youre passionate about pushing the boundaries of NLP and Generative AI and ready to work on groundbreaking projects, we encourage you to apply and join our team of innovative data scientists.