Data Scientist

Analytics & insights function:

Our vision is to build Analytics & insight function as a strategic differentiator for the company. What do we do –

• Embed analytics across the organization to help increase revenue, improve operational efficiency, enable cost optimization, 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 & storytellers.

• We are driven more by the commercial value of the data science than Kaggle submissions
• Our first instinct to improve model performance is data quality, feature engineering & validation vs trying 3 more techniques
• 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 are finicky about version control, commented codes & documentation
• We want to build strong personal connections & a fun workplace

What is the purpose of this role?

• 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

What will be your key responsibilities?

• 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

A little bit about you:

• 4-8 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