Position:
Data Scientist
Company:
Myntra
Location:
Bengaluru, Karnataka, India
Job Type:
Full-time
Job Mode:
On-site
Job Requisition ID:
Not specified
Years of Experience:
Not specified; fresher, entry level as per JD: 0-3 years
Company Description:
Myntra is one of India’s leading e-commerce platforms, specializing in fashion and lifestyle products.
The company is dedicated to making high-quality fashion accessible to a diverse range of customers across the country.
Established as a pioneering brand in the e-commerce space, Myntra is renowned for offering trend-driven collections, premium brands, and personalized shopping experiences.
The company continuously invests in cutting-edge technology, including artificial intelligence and data science, to enhance customer satisfaction and business growth.
With a workforce of over 1,000 employees, Myntra fosters a culture of innovation, collaboration, and excellence.
Myntra’s technology-driven solutions focus on seamless user experiences, intelligent product recommendations, and supply chain optimizations.
The company actively participates in research and development, contributing to advancements in AI, machine learning, and automation.
Myntra is committed to ethical business practices, data security, and customer privacy while driving innovation in the e-commerce domain.
Headquartered in Bengaluru, Myntra continues to expand its footprint in the industry, shaping the future of online fashion retail.
Profile Overview:
As a Data Scientist at Myntra, you will play a critical role in developing machine learning models that drive business success and customer satisfaction.
You will be responsible for designing, implementing, and deploying AI solutions across various domains, including storefront optimization, supply chain management, and personalized recommendations.
The role requires expertise in handling large datasets, building predictive models, and integrating AI solutions into the company’s technological ecosystem.
Working closely with product managers, engineers, and business teams, you will contribute to the development of intelligent algorithms that improve decision-making and automation.
You will be part of a fast-paced, research-driven environment where innovative ideas are encouraged and transformed into practical applications.
The position provides an opportunity to work with state-of-the-art AI models, including neural networks, generative AI, and optimization algorithms.
You will gain exposure to large-scale deployment of machine learning models that serve millions of customers, ensuring seamless shopping experiences.
The role also involves contributing to research publications, staying updated with the latest advancements in AI, and presenting findings at industry conferences.
This is an excellent opportunity for data scientists passionate about applying AI to real-world business problems in a dynamic e-commerce environment.
Qualifications:
Strong understanding of data structures and algorithms, with experience in efficiently processing large datasets.
Proficiency in Python or an equivalent programming language used in data science and machine learning applications.
A postgraduate degree (MTech, MS, or PhD) in Computer Science, Electrical Engineering, Statistics, Operations Research, Mathematics, or related fields is preferred.
Prior experience in publishing research papers is a plus, demonstrating contributions to the AI and data science community.
Expertise in machine learning and deep learning, with knowledge in the following areas:
Natural Language Processing (NLP): Ability to build models that understand, interpret, and generate human language.
Computer Vision: Experience in object detection, image classification, and video analytics for e-commerce applications.
Optimization Techniques: Application of mathematical and AI-driven optimization strategies to enhance business performance.
Generative AI and Large Language Models (LLMs): Familiarity with state-of-the-art AI techniques, including stable diffusion and transformer-based architectures.
Understanding of DevOps practices to facilitate the deployment and maintenance of AI models in production environments.
Domain knowledge in e-commerce, retail analytics, or supply chain management is an advantage.
Awareness of ethical considerations in data science, including fairness, bias mitigation, and data privacy.
Strong collaboration skills to work effectively with cross-functional teams, including software engineers, product managers, and UX designers.
Additional Information:
The Data Science team at Myntra is responsible for building AI models that impact revenue growth, customer experience, and operational efficiency.
The models developed span across real-time, near-real-time, and offline applications, ensuring optimal performance in different business scenarios.
The team is actively involved in publishing research papers and advancing AI methodologies in the e-commerce domain.
Myntra provides a highly collaborative and innovation-driven work environment where employees are encouraged to experiment with new technologies and methodologies.
The company offers competitive compensation, career growth opportunities, and access to state-of-the-art AI infrastructure.
Employees benefit from mentorship programs, continuous learning initiatives, and participation in global AI conferences.
Joining Myntra as a Data Scientist allows you to contribute to building the future of online retail using AI-driven solutions.
The role involves working on high-scale AI applications, optimizing recommendation engines, and enhancing supply chain logistics with predictive modeling.
Myntra values a diverse and inclusive workplace, ensuring equal opportunities for all employees to grow and excel in their careers.
If you are passionate about applying AI to solve real-world business challenges, this role provides a unique platform to make a significant impact in the e-commerce industry.
Please click here to apply.
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