Padmi
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retail media advertising · Target Product Ads (TPA)

Data Sciences Intern V (Karnataka)

IndiaPosted 1 month ago
Data Science And StatisticsInternFull Time; Regular
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A few problems we're trying to solve today are: "How do I predict a noisy outcome like customer buying behavior (or sales) " "What operational signals tell me if a customer is going to churn in 6 months to a year " "What is the financial value of making a customer "happy" What exact initiative made a customer happy and by how much " "What will happen to my sales if I reduce the queues in my store by 2 people " "How much additional backroom space do I need, and in which stores, to maintain in-stocks during peak sales season " "How can I improve workload forecast for stores to optimize payroll " "What factors drive unavailability of products in Stores " Come, join a dynamic, high-performing & Inclusive team that advices business on making critical decisions with the use of Advanced Analytics and Data Science. You will have: - 3 years of relevant work experience (in Consulting/Analytics domain in the past) - 2 +years of ongoing break from work - Very robust Math skills and Quantitative Ability Prior experience working in algorithms and programming (Primary Skillset - SQL, R/SAS/Python) Excellent interpersonal skills Ability to work with large-datasets to glean meaningful insights Keen to develop business acumen You will get: A medium that facilitates transition back in to professional career, and relevant work experience Opportunity to strengthen technical skills, ramp up on newer tools and technology Gain confidence and ramp up on latest technologies Get mentorship from Target India leaders A well-designed exposure to business problems and hands-on experience of problem-solving Opportunity to witness the 2nd largest Big Box retailer in the US in operations A high pedigree peer and mentor network to collaborate from top Undergrad and Post Grad colleges in India and US Steep learning curve and access to Industry-leading learning material An Industry par monthly Stipend with food & day care reimbursement along with subsidized transport. Opportunity t .

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