Data Scientist-II

3 months ago

Delhi, India Rebel Foods Full time
About the jobCompany Description:Rebel Foods, formerly known as Faasos, is the world's largest chain of Online Restaurants. Today we operate 25+ own brands such as Behrouz Biryani, Ovenstory Pizza, Faasos, Sweet Truth on our proprietary operating system, a mix of culinary craft and technology infrastructure. We are now a network of 4000+ Restaurants across 450+ Kitchens spread through 75+ cities across 4 countries and serving 2M+ customers. Furthermore, this platform now powers the scaling of brands not owned but partners. This way, we have completely changed the way restaurant businesses are built and are channeling our efforts globally for building restaurants on the internet.

Job DescriptionWe are looking for a

Data Scientist-II

to join our Data Science & Analytics (DSA) Team. 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 ownsAt 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 QualificationsStrong working knowledge of a variety of machine learning techniques (Regression, Classification,Clustering, Decision Tree, Probability Networks, 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 databasesExperience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMakerExcellent problem-solving skills with a demonstrated ability to think analytically and strategically.

Good-to-haveExperience solving NLP-based problems or working with LLMs / prompt engineeringWorking with non-tech stakeholders and explaining ML performance in simple languageA 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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