Data Analyst and Machine Learning Specialist

2 weeks ago


Bengaluru, Karnataka, India Rebel Foods Full time
About Rebel Foods

We are the world's largest chain of online restaurants, operating 25+ own brands through a proprietary operating system that combines culinary craft and technology infrastructure. Our network spans 4000+ restaurants across 450+ kitchens in 75+ cities, serving 2M+ customers daily.

We power the scaling of partner brands, changing the way restaurant businesses are built and channeled globally.

Job Description: Data Scientist-II

We seek a skilled Data Scientist-II to join our Data Science & Analytics Team. You will collaborate with data scientists, analysts, engineers, PMs, and business teams on complex problems spanning inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more.

The role involves understanding business challenges, designing relevant ML solutions, building and deploying new models, maintaining and enhancing existing models, and automating performance measurement.

We need someone who is excited about working in a fast-growing industry, has a spirit of ownership and collaboration, and loves seeing the impact of their work at scale.

Our Team's Mission

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 at Rebel.

We interact with teams across every business area, delivering continuous impact and great CX while building strong foundations for sustainable ML returns.

Specific Qualifications:
  • A strong working knowledge of various machine learning techniques (Regression, Classification, Clustering, Decision Trees, Probability Networks, Neural Networks, Bayesian models)
  • Proficiency in Python, SQL, and machine learning libraries (e.g., TensorFlow, scikit-learn)
  • Experience working with varied 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
Salary and Benefits

Estimated salary range $100,000 - $140,000 per year, depending on experience. Competitive benefits package includes health insurance, retirement plan, paid time off, and professional development opportunities.


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