Senior Data Scientist (Retail Domain)

Job Description:

• Bachelor s/MS/PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or other related fields

• 8+ years of relevant experience

• Highly proficient in programming skills in Python, SQL, Hadoop /Hive, and Spark.

• Hands-on experience in Azure and Data bricks.

• Must have experience in Retail Industry

• Strong analytical thinking and data visualization skills. Ability to creatively solve business problems, innovating new approaches where required.

• Ability to clean, transform, manipulate, and analyze large datasets for insights leading to business process improvements or solution development. A background in handling supply chain data will be preferable but not mandatory.

• Experience developing, testing, and maintaining large codebases in a collaborative environment while meeting industry best practices.

• Excellent working knowledge of Mathematical and statistical concepts, optimization, data structures and algorithms, data analysis, simulations, visualizations, and applications of same in a variety of business problems.

• Good working knowledge of machine learning, probability estimation methods, linear programming (integer, real and mixed integer) stochastic processes, and their applications in industry settings.

• Experience deploying solutions with large-scale business impact in commercial settings.

• Self-driven and results-oriented. Willing to stretch to meet tight timelines.

• Strong team player with the ability to collaborate effectively across geographies/ time zones.

• Excellent written and verbal communication skills