Data scientist

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, 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.