Myntra is hiring for a fresher entry level Data Scientist role in India

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
  

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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.

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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.

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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.

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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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