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, 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

• 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.