Data Scientist Job in Jubilant Foodworks

Job Responsibilities:

Jubilant FoodWorks is amidst transformation & expansion which will fuel the next level of growth and this creates both challenges and opportunities. While JFL is the largest QSR in the sub-continent, it is set to double in scale & size with a vision towards becoming a 2000+ Restaurant with Multi Business, Multi Product, Multi Country Operations.

Analytics & Insights function:
Our vision is to build Analytics & insight function a strategic differentiator for the company.

What do we do

• Embed analytics across the organisation to help increase revenue, improve operational efficiency, enable cost optimisation, improve guest & employee experience and manage risk.
  
• Help decision makers in the business anticipate and respond faster to emerging trends.
  
• A lean team of data scientists, ML engineers, analysts & consultants.
  
• We are customer advocates & have relentless passion for insight led decision making & strong bias for action
  
• We have a strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
  
• We want to build strong personal connects & a fun workplace

Key Accountabilities

• Build data science capabilities that help Jubilant FoodWorks drive exponential growth
  
• Equip business to focus attention when & where it matters through assisted / predictive decision making
  
• Solve business problems by applying Machine Learning / Deep Learning models on large volumes of data.
  
• Work on full spectrum of activities from framing solution, identifying data sources (internal & external), conducting experiments, 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

Desired Candidate Profile

Qualification Any Graduate or MBA/PGDM

Experience

• 2-4 years of experience building scalable models in production setting on a large volume of data
• Strong data wrangling & programming skills (Python, SQL) & experience with cloud technologies, experience with Scala, Spark will be a plus
• 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