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.
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