
Senior Data Scientist
4 days ago
Senior Data Scientist
Location:
Pune
Key Responsibilities
- Translate complex business challenges into scalable ML solutions by understanding customer needs and the broader industrial context.
- Perform Exploratory Data Analysis (EDA) and feature engineering on large-scale datasets to identify key patterns and insights.
- Develop clean, efficient, and maintainable Python code for data processing, modeling, and analysis, ensuring adherence to MLOps best practices.
- Build, optimize, deploy, and monitor scalable machine learning models and pipelines on cloud platforms (Azure preferred; AWS/GCP is a plus).
- Actively engage in code reviews, technical discussions, and knowledge-sharing sessions to foster innovation and establish best practices.
- Lead client-facing discussions, presenting actionable insights and recommendations effectively to stakeholders.
- Mentor junior data scientists, providing guidance on model development, best practices, and technical problem-solving.
Technical Skills
- Strong Python programming skills with hands-on experience in libraries such as Pandas, Scikit-learn, TensorFlow, or PyTorch.
- Solid foundation in ML & AI, covering statistical analysis, time series forecasting, deep learning, and optimization.
- Expertise in ML techniques such as Random Forest, Gradient Boosting, Neural Networks, SVM, Clustering, PCA, Reinforcement Learning, and optimization algorithms.
- Proficiency in cloud platforms such as
Azure (preferred)
, AWS, or GCP. - Experience with real-time AI model deployment in industrial environments (on-premises, cloud, or edge) is a strong advantage.
- Familiarity with SQL and NoSQL databases.
- Understanding of MLOps, including model versioning, monitoring, and deployment processes.
- Knowledge of deep learning architectures and techniques for Computer Vision, NLP, and Generative AI is a plus.
- Strong analytical and problem-solving skills with a structured approach to debugging and optimization.
- Excellent communication and collaboration skills, thriving in agile, fast-paced environments.
- Ability to adapt to changing priorities and manage work effectively in dynamic project scenarios.
Educational Qualifications
- Bachelor's or Master's degree in Metallurgy, Mechanical, IT, Computer Science, or a related field from IIT, NIT, or other top universities.
Experience
- Minimum 5 years of experience in Data Science and Machine Learning.
- Prior exposure to the metal industry, manufacturing industry, or similar industrial environments is highly desirable.
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