The Data Scientist solves complex analytical and business problems using
quantitative approaches through a combination of analytical, mathematical, and
technical skills. This role researches, designs, implements, and validates
advanced algorithms and machine learning models to analyze diverse data sources
and generate actionable insights. The Data Scientist leverages statistical
analysis, predictive modeling, machine learning, and Generative AI (GenAI)
techniques to drive business outcomes, optimize processes, and enable
data-driven decision-making across the organization.

Key Responsibilities
* Leverage data science methodologies to solve complex business challenges and
deliver measurable business impact.
* Research, design, develop, and deploy machine learning, deep learning,
predictive analytics, and Generative AI solutions, including Large Language
Model (LLM)-based use cases.
* Build analytical models using statistical methodologies and programming tools
to generate insights and recommendations.
* Perform data extraction, cleaning, preparation, profiling,



and transformation
to enable high-quality analysis and model development.
* Conduct feature engineering, model experimentation, hyperparameter tuning,
and lifecycle optimization to improve model performance and scalability.
* Develop descriptive, predictive, and prescriptive models for regression,
classification, anomaly detection, forecasting, and pattern recognition.
* Partner with business stakeholders, product teams, and domain experts to
understand requirements and validate model outcomes.
* Implement model deployment and production pipelines using APIs,
containerization, and cloud-based ML platforms.
* Monitor model performance, accuracy, and drift; recommend improvements and
retraining strategies as needed.
* Communicate methodologies, findings, insights, and recommendations clearly to
technical and non-technical stakeholders.
* Stay current with emerging technologies, trends, and best practices in dat

📌 Data Scientist (Pune)
🏢 Cummins
📍 Pune