Sr Data Scientist- Space Presentation
Target Corporation (company site, opens in a new tab)4+ yrsBengaluruOn-siteDirect career pageEst. 18–32 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and improve sales forecasting, elasticity, and optimization models to recommend Planogram item placements that balance sales, margin, guest value, and business constraints.
- Deploy scalable predictive and optimization solutions to production, monitor model performance, and iterate to maintain quality and impact.
- Collaborate with cross-functional teams including Data Scientists, Product Managers, Engineers, and Merchandising partners to translate business needs into data-driven modeling solutions.
Minimum Requirements
- Bachelor’s, Master’s, or PhD in Data Science, Statistics, Economics, Mathematics, Operations Research, Computer Science, Engineering, or a related quantitative field.
- 4+ years of experience in data science or applied machine learning including forecasting, elasticity modeling, optimization, and retail domain knowledge.
- Strong programming skills in Python and SQL with hands-on experience in large-scale data platforms such as Spark, PySpark, Hive, or Hadoop.
- Experience building and validating machine learning/statistical models, forecasting, elasticity modeling, and optimization; experience in production deployment and experimentation frameworks.
Ideal Candidate Profile
- Experienced in retail merchandising analytics focusing on demand forecasting, elasticity, and constrained optimization.
- Skilled at working with large-scale structured datasets and translating ambiguous business problems into analytical solutions.
- Familiar with advanced retail measurement approaches such as A/B testing, incrementality, plus emerging AI capabilities like Generative AI, LLMs, or AI workflow automation for decision support.