Data Scientist

The role owns the end-to-end data science lifecycle, turning complex datasets into scalable predictive models and actionable insights that drive product and business strategy.

The team collaborates closely with data engineers, product managers, and software developers to ensure models scale efficiently and perform reliably in production environments., * Develop and deploy advanced machine learning and statistical models - classification, regression, clustering - using Python and scikit-learn or PyTorch

• Design and optimize robust data pipelines with SQL and PySpark to extract, clean, and transform large-scale enterprise datasets
• Conduct rigorous A/B testing and experimentation analysis to measure the impact of new features and product iterations
• Collaborate with engineering teams to integrate models into production applications via REST APIs and cloud infrastructure
• Monitor model performance, detect drift, and retrain models regularly to maintain high accuracy and reliability

• 3-6 years of professional experience in data science, quantitative analysis, or applied machine learning
• Strong proficiency in Python, SQL, and core data science libraries such as Pandas, NumPy, and scikit-learn
• Demonstrated experience deploying models into production using cloud environments like AWS, GCP, or Azure
• Solid foundation in statistical analysis, hypothesis testing, and experimental design
• Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, or a related quantitative field
• Bonus: Experience with LLMs, NLP, vector databases, or real-time streaming data architectures

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