Global sportswear brand Adidas is hiring for the position of Junior Data Scientist in Gurgaon.
This role is ideal for candidates interested in data science, machine learning, customer analytics, and predictive modeling. The selected candidate will work with senior data scientists to analyze consumer behavior, build predictive models, and help optimize customer acquisition, engagement, and loyalty strategies.
The role also provides exposure to AI-driven marketing analytics and large-scale data science platforms used by global organizations.
About the Company
Adidas is one of the world’s largest sportswear manufacturers known for its innovation in sports technology, apparel, and digital experiences.
The company uses advanced analytics, artificial intelligence, and machine learning to understand customer behavior and improve digital experiences across its e-commerce platforms and retail channels.
Working at Adidas offers the opportunity to collaborate with global teams and contribute to data-driven decision-making for millions of customers worldwide.
Role Overview – Junior Data Scientist
The Junior Data Scientist role focuses on supporting data science initiatives that improve customer acquisition, engagement, conversion, and loyalty.
In this role, candidates will work on data exploration, predictive modeling, and customer segmentation while learning from experienced data scientists. The position also involves helping build machine learning pipelines and improving the company’s data science platform.
The role combines technical data science work with business insights and storytelling to help teams make data-driven decisions.
Key Responsibilities
As a Junior Data Scientist at Adidas, your responsibilities may include:
• Assisting in data exploration and advanced analytics projects
• Applying descriptive, predictive, and prescriptive modeling techniques
• Analyzing customer behavior and engagement patterns
• Building insights to improve customer acquisition and retention strategies
• Supporting the development of machine learning pipelines and data science platforms
• Helping automate workflows for real-time data science use cases
• Collaborating with teams to present data-driven insights and recommendations
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Data Science Network & Storytelling
The role also requires communicating insights effectively across teams.
Responsibilities include:
• Presenting analysis results and insights to business stakeholders
• Explaining complex data findings in a simple and actionable way
• Exploring innovations in AI, machine learning, and big data
• Introducing state-of-the-art techniques into the data science workflow
Segmentation & Analytics Work
The candidate will also contribute to customer analytics and segmentation projects, such as:
• Developing customer segmentation strategies
• Supporting predictive modeling for customer behavior
• Measuring customer lifetime value (CLV)
• Analyzing marketing campaign effectiveness
These insights help improve personalized recommendations and targeted marketing strategies.
Job Details
| Detail | Information |
|---|---|
| Company | Adidas |
| Role | Junior Data Scientist |
| Location | Gurgaon |
| Job Type | Full-Time |
| Work Area | Data Science / Machine Learning |
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💰 Salary (Estimated)
While Adidas has not publicly disclosed the salary for this role, the market estimate for a Junior Data Scientist in India is:
| Salary Type | Estimated Range |
|---|---|
| Annual Salary | ₹8 LPA – ₹15 LPA |
| Monthly Equivalent | ₹65,000 – ₹1,25,000 |
Actual compensation may vary depending on experience, technical skills, and interview performance.
How to Apply
Interested candidates can apply by clicking the Apply button below.
To increase your chances of getting shortlisted:
• Highlight projects related to machine learning, data analysis, or AI
• Showcase experience with Python, SQL, or data science libraries
• Include projects involving predictive modeling or customer analytics
• Add links to GitHub repositories, Kaggle projects, or portfolio work
Demonstrating practical experience with real datasets, machine learning models, or analytics dashboards can significantly strengthen your application.
Disclaimer
This job information is collected from official and publicly available sources. We do not charge any fees for job applications, do not guarantee recruitment, and do not take responsibility for any loss or damage arising from reliance on this information.
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