Posted on: 20/08/2025
Role : Senior Data Scientist / Data Scientist
Experience Required : 4 6 Years
Location : Mumbai, Maharashtra, India
Mode - Hybrid
About the Role :
- Advanced proficiency in SQL
- Strong programming skills in Python (with expertise in Pandas)
- Solid understanding of Machine Learning (ML) algorithms (regression, classification, feature selection, optimization)
- Experience with EDA, statistical modeling, and data-driven insights
- Working knowledge of Spark or similar big data frameworks
- Strong problem-solving and analytical mindset.
Key Responsibilities :
- Leverage SQL, Python (Pandas, Spark) to transform large-scale data into actionable insights.
- Conduct Exploratory Data Analysis (EDA), build statistical models, and generate business-critical insights.
- Design and implement end-to-end ML solutions, including demand forecasting and operational optimization.
- Collaborate with Product, Operations, and Engineering teams to translate business needs into scalable analytical solutions.
- Build agentic AI systems for autonomous decision-making to enhance operations and customer experience.
- Develop LLM-based automation workflows to streamline pipelines and decision-making processes.
- Partner with Data Engineering teams to design robust, real-time data pipelines ensuring high-quality data availability.
Minimum Qualifications :
- Bachelors degree in Computer Science, Statistics, Mathematics, or related field.
- 4+ years of experience working with Pandas/Spark or equivalent data technologies.
- Strong expertise in SQL and spreadsheet-based analysis.
- Hands-on experience in building and evaluating ML models.
- Proficiency in data visualization, dashboards, and analytics products.
- Excellent communication and collaboration skills.
Preferred Qualifications :
- Knowledge of supply chain analytics, inventory optimization, and logistics planning.
- Hands-on experience with inventory optimization, replenishment planning, or automated PO/TO systems.
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