Job Description & How to Apply Below
• 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, Num Py, 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, Tensor Flow)
• 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
• Strong 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.
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