Position:
- Data Scientist
Company:
- Myntra
Location:
- Bengaluru
Job Type:
- Full-time
Job Mode:
- On-site
Job Requisition ID:
- NA
Years of Experience:
- 1+ years of relevant industry experience with Bachelors degree
- or Master’s/Ph.D. in related fields.
Company Description
Overview:
- Myntra is a leading e-commerce company in India, renowned for its diverse range of products, especially in the fashion and lifestyle segment. Over the years, Myntra has established itself as a key player in the online retail industry, offering a seamless shopping experience to millions of customers across the country.
Innovation and Growth:
- The company is at the forefront of leveraging technology to enhance user experiences, with a strong emphasis on data-driven decision-making. The Data Science team at Myntra plays a crucial role in driving the company's success by developing innovative solutions that address complex business challenges.
Collaborative Culture:
- Myntra fosters a collaborative work environment where employees are encouraged to share ideas and contribute to the company's growth. The company values continuous learning and professional development, providing ample opportunities for employees to enhance their skills and advance their careers.
Commitment to Excellence:
- Myntra is committed to maintaining high standards of quality and customer satisfaction. The company's focus on excellence is reflected in its dedication to staying ahead of industry trends and adopting the latest technological advancements.
Profile Overview
Key Responsibilities:
- As a Data Scientist at Myntra, you will be an integral part of the Data Science team, which is responsible for developing and deploying a wide range of data-driven solutions across the company. Your primary focus will be on designing, building, and implementing machine learning models that solve complex business problems.
Technical Expertise:
- You will need to have a strong foundation in machine learning, with expertise in areas such as natural language processing (NLP), computer vision, and optimization techniques. You will also be required to implement robust software solutions for deploying models at scale, ensuring that they perform efficiently under varying conditions.
Collaboration and Communication:
- The role will involve close collaboration with cross-functional teams, including Data Platforms, Engineering, and Product teams, to gather data, understand business requirements, and ensure that models are aligned with the company’s goals. Strong communication skills are essential, as you will be expected to articulate complex technical concepts to non-technical stakeholders.
Continuous Learning:
- Myntra values intellectual curiosity and continuous learning. You will be encouraged to stay up-to-date with the latest research and technological advancements in the field of data science, and to contribute to the broader data science community through publications and presentations.
Qualifications
Educational Background:
- A Master’s or Ph.D. in Computer Science, Mathematics, Statistics, or related fields is preferred. However, candidates with a Bachelor’s degree and 1+ years of relevant industry experience will also be considered.
Technical Proficiency:
- Proficiency in Python or another high-level programming language is required. Additionally, a strong theoretical understanding of statistical models, such as regression and clustering, as well as machine learning algorithms, including decision trees and neural networks, is essential.
Machine Learning Experience:
- Hands-on experience in developing machine learning models is crucial. Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn is highly desirable. Basic knowledge of statistics as it applies to machine learning is also important.
Database Skills:
- Experience with SQL and/or NoSQL databases is required, as you will need to manage and manipulate large datasets to support model development and deployment.
Communication and Collaboration:
- Strong written and verbal communication skills are essential for this role. You will need to work effectively with cross-functional teams and communicate complex technical concepts to a diverse audience.
Additional Qualifications:
- Intellectual curiosity and a passion for continuous learning are highly valued. The ability to manage and prioritize your workload, and to support your manager in achieving team goals, is also important.
Additional Info
Career Growth:
- At Myntra, you will have the opportunity to work in a dynamic and rapidly growing organization, gaining exposure to all aspects of a comprehensive e-commerce platform. The experience you gain here will be invaluable as you build your career in data science.
Technological Advancement:
- You will be working with cutting-edge technologies and tools, including graph neural networks, diffusion models, transformers, and representation learning techniques. The team at Myntra is committed to leveraging state-of-the-art machine learning models to create significant business impact.
Research and Development:
- Myntra’s Data Science team actively contributes to the research community, with multiple peer-reviewed research papers published in leading journals and conferences. You will have the opportunity to be part of a team that not only implements machine learning solutions but also advances the field through original research.
Work Environment:
- Myntra offers a supportive and inclusive work environment, where employees are encouraged to take ownership of their projects and contribute to the company’s success. The company’s culture promotes innovation, collaboration, and a commitment to excellence.
Opportunities for Exceptional Candidates:
- Myntra is open to hiring exceptional candidates who may not meet all the standard qualifications but demonstrate a strong potential to contribute to the team. If you are passionate about data science and have a unique skill set, Myntra encourages you to apply.
Nice to Have:
- Experience with machine learning orchestration tools such as Airflow, Kubeflow, or MLFlow is a plus. Additionally, exposure to generative AI models and a track record of publications or presentations in recognized machine learning and data science journals or conferences will be highly valued.
Please click here to apply.
Comments
Post a Comment
Please feel free to share your thoughts and discuss.