Zepto Hiring 2026 | Data Scientist I – Growth | Bangalore | Apply Now

Application Link

Apply Here:

https://docs.google.com/forms/d/e/1FAIpQLSc6_ttw8PtgncnZPfaXjgdebOoNNm0AguQ-MkFjX2_meaC4mg/viewform

Zepto Hiring – Data Scientist I – Growth Opportunity

Zepto is hiring a Data Scientist I – Growth for its Bangalore, Karnataka, India location. This is a full-time opportunity suitable for candidates with 0–2 years of experience in Data Science, Machine Learning, or related roles.

Freshers with strong internships or academic projects in Machine Learning, Data Analysis, or large-scale data processing are also encouraged to apply. The role is focused on applied machine learning, real-world datasets, feature engineering, model evaluation, data processing, and data-driven problem solving.

About Zepto

Zepto is a technology-driven quick-commerce company that uses digital platforms, data, analytics, and technology to support its operations and customer experience. Data science and machine learning play an important role in analyzing large datasets and developing data-driven solutions.

Job Details

Company: Zepto
Position: Data Scientist I – Growth
Job Type: Full-Time
Location: Bangalore, Karnataka, India
Experience: 0–2 Years
Salary: Not disclosed in the provided job posting/form

Eligibility Criteria

0–2 years of experience in Data Science, Machine Learning, or related roles.
Freshers with strong internships or academic projects in ML, data analysis, or large-scale data processing are encouraged to apply.
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
Strong foundation in probability, statistics, linear algebra, and machine learning fundamentals.
Hands-on exposure to building and evaluating machine learning models.
Experience with real-world datasets is an advantage.
Knowledge of feature engineering and model evaluation is an advantage.
Demonstrated academic or project experience in applied machine learning.
Strong data-driven problem-solving ability.

Job Description

As a Data Scientist I – Growth, candidates will work on data science and machine learning problems involving real-world datasets. The role requires a strong understanding of machine learning fundamentals, statistics, probability, linear algebra, and data analysis.

The position is suitable for early-career data scientists who want to apply machine learning techniques to large-scale data, build and evaluate models, perform feature engineering, and solve practical business problems using data-driven approaches.

Key Responsibilities

Analyze real-world datasets to identify meaningful patterns and insights.
Develop and apply machine learning models to business and growth-related problems.
Perform feature engineering and feature selection.
Evaluate and validate machine learning models.
Work with tree-based machine learning models and other appropriate techniques.
Process and analyze large-scale datasets.
Work with data ingestion and data processing pipelines.
Use Python and SQL for data analysis and machine learning tasks.
Work with PySpark or other data processing tools where applicable.
Apply probability, statistics, and linear algebra concepts to data science problems.
Debug data and model-related issues quickly.
Perform data-driven problem solving.
Collaborate with team members on data science and machine learning initiatives.
Translate analytical findings into useful insights and solutions.

Key Skills Required

Data Science
Machine Learning
Python
SQL
PySpark / Data Processing Tools
Feature Engineering & Selection
Model Evaluation & Validation
Tree-Based Models
Data Ingestion & Pipelines
Probability
Statistics
Linear Algebra
Applied Machine Learning
Data Analysis
Large-Scale Data Processing
Real-World Dataset Handling
Data-Driven Problem Solving
Fast Debugging

Machine Learning & Data Science Skills

Programming: Python
Database & Querying: SQL
Data Processing: PySpark and other data processing tools
Machine Learning: Applied Machine Learning, Tree-Based Models
Feature Engineering: Feature Engineering & Selection
Model Development: Model Evaluation & Validation
Data Engineering: Data Ingestion & Pipelines
Mathematics: Probability, Statistics, Linear Algebra
Data Analysis: Real-World Dataset Handling and Large-Scale Data Processing

Project Experience

Freshers are encouraged to apply if they have relevant internships, academic projects, or personal projects involving machine learning, data analysis, or large-scale data processing.

Projects involving real-world datasets, feature engineering, model development, model evaluation, Python, SQL, PySpark, or applied machine learning can help demonstrate relevant technical skills.

Salary

The salary or compensation for the Data Scientist I – Growth position is not disclosed in the provided job posting/form. Candidates should verify the latest compensation details through the official recruitment/application process.

Selection Process

The specific selection rounds are not specified in the provided form. The actual number and type of recruitment rounds may vary depending on Zepto's recruitment process.

Why Apply?

Opportunity to start or advance a career in Data Science and Machine Learning.
Suitable for candidates with 0–2 years of experience.
Freshers with strong ML and data science projects are encouraged to apply.
Work with real-world datasets and data-driven problems.
Gain practical exposure to applied machine learning.
Develop experience with Python, SQL, and large-scale data processing.
Strengthen feature engineering and model evaluation skills.
Apply statistics, probability, and linear algebra to practical problems.
Build experience with modern data processing and machine learning techniques.

Who Should Apply?

Freshers and early-career Data Scientists.
Candidates with 0–2 years of Data Science or Machine Learning experience.
Bachelor's or Master's graduates in Computer Science, Engineering, Mathematics, Statistics, or related quantitative fields.
Candidates with strong fundamentals in probability, statistics, linear algebra, and machine learning.
Students or graduates with ML, data analysis, or large-scale data processing projects.
Candidates with hands-on experience building and evaluating ML models.
Aspiring Data Scientists interested in growth and data-driven problem solving.

How to Apply?

Interested and eligible candidates can apply through the provided application form. Candidates should prepare an updated resume highlighting their Python, SQL, Machine Learning, Data Science, feature engineering, model evaluation, and relevant project or internship experience.

Step 1: Open the application link below.

Step 2: Review the eligibility criteria and job requirements.

Step 3: Prepare your updated resume and relevant project details.

Step 4: Complete the application form with accurate information.

Step 5: Submit your application and monitor your email or contact details for further recruitment communication.

Apply Here:

https://docs.google.com/forms/d/e/1FAIpQLSc6_ttw8PtgncnZPfaXjgdebOoNNm0AguQ-MkFjX2_meaC4mg/viewform

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Disclaimer

The recruitment details are based on the provided job information. Candidates should verify the latest eligibility criteria, job requirements, salary details, selection process, application details, and other recruitment information through the official Zepto recruitment/application process before applying. Selection rounds may vary depending on the recruitment process.

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Zepto Hiring 2026 | Data Scientist I – Growth | 0–2 Years | Bangalore

Meta Description

Zepto is hiring Data Scientist I – Growth in Bangalore for candidates with 0–2 years of experience. Freshers with strong ML projects can apply. Python, SQL, PySpark and ML skills required.

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