Senior Data Scientist job opportunity at Target.



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Target Senior Data Scientist
Requires: 3-years - XP
Pattern: full-time
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Bachelor's (B.Sc.)
Bangalore, Karnataka, India
Bangalore, Kar..........India

Gain an in-depth understanding of systems and processes influencing Marketing incremental sales revenue and redemption. Analyse large datasets to derive insights for model improvements and solution development. Develop optimization-based solutions, mathematical models (probabilistic/deterministic models), predictive models, and implement them in real-world production systems with measurable impact. Collaborate with the team to build and maintain complex software systems and tools. Add new capabilities and features to the simulation framework to reflect the complexities of an evolving supply chain network. Develop and deploy modules to run simulations for testing and validating multiple scenarios to evaluate the impact of various inventory purchasing and management strategies. Coordinate the analysis, troubleshooting, and resolution of issues in models and software. Mentor junior team members. __ About You: Bachelor's/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or related fields. 3-4+ years of relevant experience. Experience in applying a variety of machine learning techniques to solve complex problems in Marketing or related domain. Strong analytical thinking and data visualization skills. Ability to creatively solve business problems and innovate new approaches. Experience cleaning, transforming, and analysing large datasets for insights leading to business improvements. Experience #developing, #testing, and #maintaining large codebases in a collaborative environment while meeting industry best practices. Proficiency in Python, SQL, Hadoop/Hive, Spark. Knowledge of mathematical and statistical concepts, optimization, data structures, algorithms, data analysis, simulations, and visualizations applied to business problems. Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real, and mixed integer), stochastic processes, and their applications. Experience deploying solutions with large-scale business impact. Self-driven and results-oriented, with the ability to meet tight timelines. Strong team player with the ability to collaborate across geographies/time zones. Excellent written and verbal communication skills.

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