Job Description – Data Scientist / Machine Learning Engineer

Job Summary

We are looking for an experienced Data Scientist with strong expertise in Python, SQL, statistical analysis, and machine learning. The ideal candidate should have hands-on experience in developing, validating, tuning, and deploying machine learning models, along with the ability to analyze large datasets and generate actionable business insights.

Roles and Responsibilities

• Develop, train, validate, and deploy machine learning models to solve business problems.
• Perform data collection, cleaning, preprocessing, and feature engineering on large datasets.
• Apply machine learning algorithms and statistical techniques to identify patterns, trends, and predictive insights.
• Conduct regression, classification, and clustering analysis to address business requirements.
• Perform A/B testing and hypothesis testing to evaluate model performance and business outcomes.
• Use Python libraries such as Pandas and NumPy for data manipulation, analysis, and model development.
• Create data visualizations to communicate analytical findings and model performance.
• Develop and optimize SQL queries to extract, transform, and analyze data from multiple sources.
• Tune model parameters and evaluate models using appropriate performance metrics.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Monitor deployed models and identify opportunities for performance improvement.
• Leverage cloud platforms to support scalable machine learning workflows and deployment.

Required Skills and Qualifications

• 4+ years of hands-on experience in Data Science and Machine Learning.
• Strong programming skills in Python.
• Strong proficiency in SQL and experience working with large datasets.
• Good understanding of machine learning algorithms and statistical concepts.
• Hands-on experience with Pandas, NumPy, and data visualization libraries.
• Experience in model development, validation, hyperparameter tuning, and deployment.
• Knowledge of A/B testing, hypothesis testing, regression, classification, clustering, and feature engineering.
• Strong analytical and problem-solving abilities.
• Ability to interpret complex datasets and translate findings into actionable insights.

Preferred Skills

• Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Familiarity with scalable machine learning workflows and cloud-based model deployment.
• Experience with model monitoring, performance optimization, and data-driven decision-making.

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.