Job Description • Analyze structured and unstructured datasets to identify actionable insights and trends. • Develop and deploy machine learning models and statistical solutions for business challenges. • Apply statistical techniques including hypothesis testing, probability modeling, and model evaluation metrics (ROC-AUC, Precision/Recall, RMSE, etc.) to ensure robust solutions. • Collaborate with data engineers to design scalable data pipelines and architectures. • Translate complex data findings into clear, actionable recommendations for stakeholders. • Contribute to building data-driven tools and dashboards for clients. • Support deployment, monitoring, and performance tracking of models in production environments. • Maintain documentation of methodologies, experiments, and results, ensuring reproducibility and governance. • Work with version control systems (e.g., Git) and ML lifecycle tools to manage model development and deployment workflows. • Stay updated on emerging trends in AI/ML and apply learnings to projects. Qualifications Academic Background • Bachelor’s or master’s degree in data science, Computer Science, Statistics or a related field. Technical Expertise • 3–5 years of hands-on experience in data science, machine learning, or analytics. • Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn)



or R for data analysis and modeling. • Strong SQL skills for data extraction and manipulation. • Solid understanding of statistics, probability, and model evaluation techniques. • Experience with machine learning algorithms including regression, classification, clustering, and tree-based models • Experience in deploying Production level ML solutions • Familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow) • Familiarity with MLOps would be preferred • Experience with data visualization tools (Tableau, Power BI, Looker). • Experience with cloud platforms like Databricks preferred. • Basic understanding of deploying models and working with large-scale data platforms. Skills • Solid problem-solving mindset and ability to thrive in agile environments. • Excellent communication skills to convey technical concepts to non-technical audiences. • Collaborative spirit, with experience working in cross-functional teams. • Ability to translate business requirements into analytical solutions and actionable insights. • Experience working in production environments with exposure to monitoring and maintaining deployed models. How to Apply The role offers very attractive compensation (Base Bonus) and is based out of Chennai/Gurugram.

📌 Data Scientist (Tamil Nadu)
🏢 Eucloid Data Solutions
📍 Tamil Nadu