Senior Data Scientist

About the Role

We are hiring a Senior Data Scientist to build analytical models, generate business insights, and deploy scalable ML solutions that drive measurable impact across the organization.

Key Responsibilities

• Develop predictive models, forecasting solutions, and statistical frameworks for business decision-making.

• Lead end- to- end DS lifecycle: data prep, feature engineering, model development, validation, deployment, monitoring.

• Conduct A/B testing, experimentation, and deep- dive analysis to uncover actionable insights.

• Collaborate with product, tech, and business teams to translate problems into data- driven solutions.

• Deploy models using APIs, microservices, and cloud ML platforms; monitor drift and performance.

• Mentor junior team members and contribute to DS best practices.

Required Skills

• Strong proficiency in Python, and DS/ML libraries (scikit- learn, TensorFlow/PyTorch, Pandas, NumPy).

• Solid understanding of statistics, ML algorithms, NLP, and deep learning.

Preferred

• Experience with Generative AI/LLMs, vector databases, and production ML systems.

• Open- source contributions.