Rebel Foods | Data Scientist III

2 days ago

bangalore, India Rebel Foods Full time
Company Description:
We are surrounded by the world's leading consumer companies led by technology - Amazon for retail, Airbnb for hospitality, Uber for mobility, Netflix and Spotify for entertainment, etc. Food & Beverage is the only consumer sector where large players are still traditional restaurant companies. At Rebel Foods, we are challenging this status quo as we are building the world's most valuable restaurant company on the internet, superfast.
The opportunity for us is immense due to the exponential growth in the food delivery business worldwide which has helped us build 'The World's Largest Internet Restaurant Company' in the last few years. Rebel Foods' current presence is India, UAE & UK with close to 50 brands and 4500+ internet restaurants has been built on The Rebel Operating System.
While for us it is still Day 1, we know we are in the middle of a revolution towards creating never seen before customer-first experiences. We bring you a once-in-a-lifetime opportunity to disrupt the 500-year-old industry with technology at its core.
We urge you to refer to the below to understand how we are changing the restaurant industry before applying at Rebel Foods.
Description
We are looking for a Data Scientist-III / Lead Data Scientist to join our Data Science & Analytics (DSA) Team. As a Lead Data Scientist, you will be responsible for overseeing the design, development, and implementation of advanced data models and algorithms to solve complex business problems in food technology. You will get to work with other data scientists, analysts, data engineers, PMs and business teams on some of the toughest and most interesting problems in our industry. Our work spans across areas of inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more.
The role will involve understanding business problems, designing relevant ML solutions, building & deploying new models, maintaining & enhancing existing models, and automating performance measurement of the same. We are looking for someone who is excited to work in a fast-growing industry, has a spirit of ownership & collaboration, and loves seeing the impact of what they have built at scale
What our team owns
At Rebel, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports and dashboards used by the organization. We are on a mission to drive business impact via ML and Data Science and grow adoption of these areas at Rebel. We also want to enable the organization to better understand and effectively use ML and DS. We interact with teams across every business area such as Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning and many more. We are never short of interesting challenges and we balance delivering continuous impact and great CX, while building strong foundations to drive sustainable ML returns over time.
Specific Qualifications
Strong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Neural Networks, Bayesian models etc.)
Proficient in Python, SQL, and machine learning libraries (e.g., TensorFlow,scikit-learn).
Experience in working with varied data types (structured and unstructured) and databases
Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker
Solid understanding of data wrangling, feature engineering, and working with structured and unstructured data.
Experience with version control systems (e.g., Git) and agile development methodologies.
Familiarity with DevOps practices and CI/CD pipelines for deploying models in production.
Excellent problem-solving skills with a demonstrated ability to think analytically and strategically
Minimum of 4-5 years Data Science experience in the industry with Bachelors, or Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics.
Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
Good-to-have
Experience solving NLP-based problems or working with LLMs / prompt engineering
Working with non-tech stakeholders and explaining ML performance in simple language
A love of food (Yes, we have regular tasting sessions at office)
If you find this intriguing, we should meet. Please reach out to with your background and a few lines about why you are interested in this space we are trying to create.
Learn more about Rebel here:

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