Job Description

Job Description

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- Analyze structured and unstructured datasets to identify actionable insights and trends.
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- Develop and deploy machine learning models and statistical solutions for business challenges.
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- Apply statistical techniques including hypothesis testing, probability modeling, and model evaluation metrics (ROC-AUC, Precision/Recall, RMSE, etc.) to ensure robust solutions.
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- Collaborate with data engineers to design scalable data pipelines and architectures.
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- Translate complex data findings into clear, actionable recommendations for stakeholders.
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- Contribute to building data-driven tools and dashboards for clients.
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- Support deployment, monitoring, and performance tracking of models in production environments.
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- Maintain documentation of methodologies, experiments, and results, ensuring reproducibility and governance.
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- Work with version control systems (e.g., Git) and ML lifecycle tools to manage model development and deployment workflows.
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- Stay updated on emerging trends in AI/ML and apply learnings to projects.
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Qualifications

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Academic Background

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• Bachelor's or master's degree in data science, Computer Science, Statistics or a related field.

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Technical Expertise

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- 3–5 years of hands-on experience in data science, machine learning, or analytics.
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- Proficiency in Python (e.g., Pandas, NumPy, Scikit-learn)



or R for data analysis and modeling.
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- Strong SQL skills for data extraction and manipulation.
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- Solid understanding of statistics, probability, and model evaluation techniques.
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- Experience with machine learning algorithms including regression, classification, clustering, and tree-based models
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- Experience in deploying Production level ML solutions
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- Familiarity with ML frameworks (e.g., Scikit-learn, TensorFlow)
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- Familiarity with MLOps would be preferred
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- Experience with data visualization tools (Tableau, Power BI, Looker).
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- Experience with cloud platforms like Databricks preferred.
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- Basic understanding of deploying models and working with large-scale data platforms.
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Skills

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- Strong problem-solving mindset and ability to thrive in agile environments.
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- Excellent communication skills to convey technical concepts to non-technical audiences.
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- Cooperative spirit, with experience working in cross-functional teams.
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- Ability to translate business requirements into analytical solutions and actionable insights.
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- Experience working in production environments with exposure to monitoring and maintaining deployed models.
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How to Apply

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The role offers very attractive compensation (Base + Bonus) and is based out of Chennai/Gurugram.

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