Data Insights Specialist
3 weeks ago
As a pioneering force in the food technology industry, we are reshaping the way consumers interact with restaurants. By leveraging cutting-edge technologies, we have established ourselves as the world's most valuable restaurant company on the internet, superfast.
Our presence spans across India, Indonesia, UAE, UK & KSA, with nearly 50 brands and over 4,500 internet restaurants built on our proprietary Rebel Operating System.
We are at the forefront of a revolution that is transforming the 500-year-old industry into a customer-centric experience driven by technology.
Job OverviewWe are seeking an exceptional Data Scientist-II to join our Data Science & Analytics team. As a key member, you will collaborate with data scientists, analysts, data engineers, product managers, and business teams to tackle some of the most complex and intriguing challenges in our sector.
Your responsibilities will include understanding business problems, designing relevant machine learning solutions, developing and deploying new models, maintaining and enhancing existing ones, and automating performance measurement.
This role demands someone who is passionate about working in a fast-growing industry, possesses a spirit of ownership and collaboration, and takes pride in seeing the impact of their work at scale.
What We OwnThe Data Science & Analytics team at Rebel Foods is responsible for building and maintaining all machine learning models, rule-based intelligence, automated reports, and dashboards used across the organization.
We strive to drive business impact through machine learning and data science while promoting adoption across different departments. Our goal is to empower the organization to better comprehend and effectively utilize machine learning and data science.
We interact with various teams, including Supply, Operations, Demand Generation, D2C, Finance, Brands, Customer Delight, Central Planning, and many more. This role offers a unique opportunity to tackle challenging tasks while balancing continuous impact and great customer experiences.
Key Qualifications- A strong working knowledge of multiple machine learning techniques (Regression, Classification, Clustering, Decision Trees, Probability Networks, Neural Networks, Bayesian models, etc.)
- Proficiency in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn)
- Experience working with diverse data types (structured and unstructured) and databases
- Experience with Machine Learning and related technologies such as Python, Tensorflow, Amazon SageMaker
- Excellent problem-solving skills with a demonstrated ability to think analytically and strategically
Note: The salary range provided is based on industry standards and may vary depending on individual qualifications and experience.
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