Principal Data Scientist

Role Overview :

We are looking for a highly experienced Principal Data Scientist to lead the design, development, and deployment of advanced Machine Learning, NLP, and Generative AI solutions. This is a strategic and hands-on role requiring expertise in building scalable data science systems, driving innovation, and mentoring high-performing teams.

The ideal candidate will have strong experience in Python/R, cloud platforms, and MLOps, along with the ability to translate complex business problems into impactful data-driven solutions.

Key Responsibilities :

- Design and develop machine learning, NLP, and Generative AI models

- Build solutions for predictive modeling, recommendation systems, and intelligent automation

- Apply advanced statistical and analytical techniques to solve complex business problems

2. Architecture & Scalability :

- Lead the design of scalable data science architectures and pipelines

- Optimize model performance, accuracy, and efficiency

- Ensure production readiness of ML models and systems

3. MLOps & Deployment :

- Implement MLOps practices for model deployment, monitoring, and lifecycle management

- Work with cloud platforms such as AWS, Azure, or GCP

- Build automated pipelines for training, validation, and deployment

4. Leadership & Mentorship :

- Mentor and guide data scientists, ML engineers, and analysts

- Drive best practices in model development, experimentation, and validation

- Lead technical discussions and influence data science strategy

5. Stakeholder Collaboration :

- Work closely with business stakeholders, product teams, and engineering teams

- Translate business requirements into data science solutions

- Present insights and recommendations to senior leadership

Required Skills & Qualifications :

Strong expertise in :

- Machine Learning & Deep Learning

- Natural Language Processing (NLP)

- Generative AI (GenAI)

Proficiency in :

- Python and/or R

- Cloud platforms (AWS / Azure / GCP)

Hands-on experience with :

- MLOps and model deployment

- Large-scale data processing and analytics

Good to Have :

- TensorFlow / PyTorch

- Hugging Face / LLM frameworks

- Exposure to big data tools (Spark, Hadoop)

- Experience in end-to-end product or platform development

Ideal Candidate Profile :

- Experience in building production-grade AI systems

- Ability to drive innovation and business impact through data science