Data Scientist: Unlocking Business Impact with Machine Learning
19 hours ago
About Us
We are a leading player in the food delivery industry, revolutionizing the way restaurants operate and interact with customers. With an immense opportunity for growth, we are building the world's most valuable restaurant company on the internet.
Our presence spans across India, Indonesia, UAE, UK & KSA with over 50 brands and 4500+ internet restaurants built on our proprietary operating system. We are at the forefront of a technological revolution, creating customer-first experiences that disrupt the 500-year-old industry.
The Opportunity
We are looking for a Data Scientist-II to join our Data Science & Analytics (DSA) Team. As a key member, you will work with other data scientists, analysts, data engineers, PMs, and business teams to solve some of the toughest problems in our industry.
Our work spans across areas such as inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. You will design relevant ML solutions, build & deploy new models, maintain & enhance existing models, and automate performance measurement.
What We Offer
At Rebel Foods, the Data Science & Analytics team builds and maintains all ML models, rule-based intelligence, automated reports, and dashboards used by the organization. We drive business impact via ML and Data Science and grow adoption of these areas within the company.
We interact with teams across every business area, including Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning, and many more. You will have the opportunity to balance delivering continuous impact and great CX while building strong foundations to drive sustainable ML returns over time.
Requirements
We are looking for someone with:
- A strong working knowledge of various machine learning techniques (Regression, Classification, Clustering, Decision Tree, Probability Networks, Neural Networks, Bayesian models)
- Proficiency in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn)
- Experience in working with varied data types (structured and unstructured) and databases
- Excellent problem-solving skills with a demonstrated ability to think analytically and strategically
Benefits
We offer a competitive salary of $120,000 - $150,000 per annum, depending on experience, and a range of benefits, including regular tasting sessions at the office. If you find this opportunity intriguing, please reach out to us.
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