Data Scientist II

Rebel Foods; Maharashtra; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Regular tasting sessions

Job summary

A leading food technology company is looking for a Data Scientist-II to join their Data Science & Analytics team. In this role, you'll collaborate with data scientists and business teams to address key challenges, focusing on inventory forecasting, delivery predictions, and more. Successful candidates will have strong machine learning skills, proficiency in Python and SQL, and experience with both structured and unstructured data. Join us in enhancing our ML models to impact the business positively.

Qualifications

• Strong working knowledge of various machine learning techniques (Regression, Classification, etc.).
• Proficient in Python, SQL, and machine learning libraries.
• Experience with structured and unstructured data and databases.
• Excellent analytical and strategic thinking skills.

Responsibilities

• Collaborate with cross-functional teams to solve complex business problems.
• Design and deploy new machine learning models.
• Maintain and enhance existing models for performance.
• Automate performance measurement for models.

Skills

Machine Learning Techniques

Python

SQL

Data Analysis

Problem Solving

Tools

TensorFlow

scikit-learn

Amazon SageMaker

Job description

Job Description

We are looking for a Data Scientist-II to join our Data Science & Analytics (DSA) Team. You will collaborate with data scientists, analysts, data engineers, PMs, and business teams to tackle the toughest and most interesting problems in our industry. The role spans inventory forecasting, order predictions, marketing spend optimization, delivery time prediction, personalization, customer insighting, product recommendations, supply chain planning, capacity optimization, and more. Your responsibilities include understanding business problems, designing relevant ML solutions, building and deploying new models, maintaining and enhancing existing models, and automating performance measurement of the same.

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 drive business impact via ML and Data Science and grow adoption of these areas at Rebel, enabling the organization to better understand and effectively use ML and DS across every business area.

Specific Qualifications

• Strong 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 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.

Good‑to‑have

• 4+ years of 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!).

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Information Technology

Industries

Internet Marketplace Platforms, Technology, Information and Media, Mobile Food Services

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