Role : Senior Data Scientist / Data Scientist
Experience Required : 4 6 Years
Location : Mumbai, Maharashtra, India
Mode - Hybrid
About the Role :
We are seeking a highly skilled Senior Data Scientist / Data Scientist to join our growing analytics team. The ideal candidate will leverage SQL, Python, Machine Learning, and Pandas to deliver data-driven insights, optimize operations, and develop intelligent automation in a Quick Commerce environment.
Must-Have Skills :
- 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 :
Experience in demand forecasting within quick commerce, food delivery, or e-grocery domains.Knowledge of supply chain analytics, inventory optimization, and logistics planning.Hands-on experience with inventory optimization, replenishment planning, or automated PO / TO systems.(ref : hirist.tech)