Jubilant FoodWorks Limited – JFL – Data Scientist
Job Description
Solve business problems by applying Machine Learning / Deep Learning models on large volumes of data
Work on a full spectrum of activities from framing solutions, identifying data sources (internal & external), conducting experiments, and delivering production-ready models to model management
Knowledge management (well-documented codes, code repository, project briefs, interim Excel files, presentations, research)
Proactive communication to understand the problem, work progress & results
Manage individual project priorities, deadlines, and deliverables
Eligibility
2-4 years of experience building scalable models in a production setting on a large volume of data
Strong data wrangling & programming skills(Python, SQL) & experience with cloud technologies, experience with Scala, Spark gives you additional points
Intermediate level understanding in any of the areas – Machine Learning, Deep Learning, experience with unstructured data is a plus
Practical knowledge of working with code repository & agile framework
Strong match with our value system & DNA
Preferred domain experience - Supply chain network optimization/forecasting/inventory management, Personalization / Customer Science
About Company
Jubilant FoodWorks Limited (JFL Group/Group), incorporated in 1995, ranks among the leading emerging markets’ food service companies. Its Group network comprises 3,130 stores across six markets – India, Turkey, Bangladesh, Sri Lanka, Azerbaijan and Georgia. The Group has a strong Portfolio of Brands in emerging markets with franchise rights for three global brands - Domino’s, Popeyes and Dunkin’ – and two own-brands, Hong’s Kitchen, an Indo-Chinese QSR brand in India, and a CAFÉ brand - COFFY in Turkey.
