Senior Data Scientist / Lead

About the Role

We are looking for an experienced Data Scientist with a strong foundation in Statistics, Machine Learning, and Deep Learning to develop data-driven solutions for complex business problems.

The ideal candidate should have hands-on experience in developing, implementing, and evaluating statistical and machine learning models, along with strong programming skills in Python and SQL. The role requires strong analytical thinking and problem-solving capabilities, with the ability to translate business requirements into scalable, data-driven solutions. Candidates should also have a solid understanding of mathematical and statistical modeling techniques and demonstrated experience applying these methods to solve real-world business problems.Exposure to Generative AI (GenAI) is preferred

Key Responsibilities

• Work with large and complex datasets to identify trends, patterns, and actionable business insights.
• Design, develop, and validate statistical, machine learning, and deep learning models.
• Perform exploratory data analysis, data preprocessing, feature engineering, and model evaluation.
• Apply statistical techniques to solve business problems and support data-driven decision-making.
• Develop predictive and prescriptive models for use cases such as classification, regression, forecasting, segmentation, and optimization.
• Build solutions using Python and SQL for data analysis and model development.
• Evaluate and optimize model performance using appropriate statistical and ML techniques.
• Work with structured and unstructured data from multiple sources.
• Collaborate with Data Engineering, Analytics, Product, and business teams to develop scalable solutions.
• Present analytical findings, model outcomes, and recommendations to technical and business stakeholders.
• Document methodologies, assumptions, model performance, and technical approaches.
• Keep up to date with developments in Machine Learning, Deep Learning, and GenAI.

Mandatory Skills

• 7+ years of relevant experience in Data Science, Machine Learning, Advanced Analytics, or related areas.
• Strong hands-on programming experience in Python.
• Strong proficiency in SQL for data extraction, manipulation, and analysis.
• Strong foundation in Statistics and Probability, including statistical modeling, hypothesis testing, regression, and experimentation.
• Strong hands-on experience in Machine Learning, -Statistics, Predictive Modelling, Data Mining, Machine Learning, Natural Language Processing , Deep Learning, Computer Vision, Series/Forecasting techniques
• Good hands-on experience in Deep Learning and neural network-based approaches.
• Experience with Python libraries/frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow and/or PyTorch.
• Strong understanding of data preprocessing, feature engineering, model selection, validation, and performance evaluation.
• Strong analytical and problem-solving skills.
• Ability to translate business problems into analytical/Data Science solutions.
• Good communication and stakeholder-management skills.

Preferred Skills

• Exposure to Generative AI, Large Language Models (LLMs), or NLP is an added advantage.
• Understanding model deployment, MLOps, and productionizing ML models would be advantageous.
• Experience working in consulting, analytics services, or client-facing environments is preferred.