Senior Data Scientist – Commodities Data Science

Experience: 8–10 Years

Location: Bangalore (Hybrid)

Engagement Type: Contract

Job Summary

We are looking for an experienced Senior Data Scientist with strong expertise in Machine Learning, Python, SQL, and Time-Series Forecasting. The ideal candidate should have hands-on experience delivering and maintaining machine learning solutions in production environments, working with large and complex datasets, and interacting with Big Data and Data Lake platforms.

The candidate should be capable of independently delivering data science initiatives, enhancing existing Commodities Data Science products, and identifying business problems and opportunities within the commodities domain.

Key Responsibilities

- Design, develop, deploy, and maintain machine learning solutions in production environments.
- Develop forecasting models and perform time-series analysis to support business requirements.
- Work with large and complex datasets across Big Data and Data Lake environments.
- Use Python, SQL, and Jupyter Notebooks for data exploration, model development, analysis, and implementation.
- Independently deliver assigned roadmap initiatives and Business-as-Usual (BAU) activities.
- Enhance, maintain, and provide ongoing support for existing Commodities Data Science products.
- Identify business problems within the commodities domain and translate them into data science solutions.
- Identify opportunities for model optimization, process improvements, and better performance.




- Collaborate with stakeholders to understand business requirements and deliver effective technical solutions.
- Contribute to day-to-day data science development, implementation, and support activities.
- Work independently with minimal supervision and quickly adapt to existing codebases and product environments.

Mandatory Skills & Experience
- 8–10 years of experience in Data Science, Machine Learning, or related fields.
- Strong experience delivering Machine Learning solutions in production environments.
- Advanced programming skills in Python and SQL.
- Hands-on experience with Jupyter Notebooks.
- Experience working with Big Data technologies and Data Lake systems.
- Strong experience in Forecasting and Time-Series Modelling.
- Experience handling, analysing, and processing large and complex datasets.
- Strong problem-solving, analytical, and stakeholder management skills.
- Ability to work independently and become productive quickly in existing technical environments.

Good-to-Have Skills
- Hands-on experience with PySpark.
- Experience with Azure Machine Learning (Azure ML).
- Exposure to AI-driven development and AI-assisted coding tools.
- Previous experience in the Commodities domain.

Expected Outcomes
- Independently deliver assigned roadmap and BAU work items.
- Enhance and support existing Commodities Data Science products.
- Define business problem statements and identify data science opportunities within the commodities domain.
- Implement model enhancements and process improvements.
- Provide solid technical contributions to daily data science delivery activities.

📌 Senior Data Scientist (Bangalore Metropolitan Area)
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📍 Bangalore Metropolitan Area