Flipkart
Website:
flipkart.com
Job details:
About the Company
Flipkart is a leading e-commerce platform in India, committed to providing a seamless shopping experience. Our mission is to empower customers with a wide range of products and services while fostering a culture of innovation and collaboration.
About the Role
A Senior Data Scientist in Flipkart is required to drive research and development of various Machine Learning and Statistical modules, keeping business goals and product planning at the front. The responsible person should be able to communicate and collaborate with multiple stakeholders representing various teams. The crux of the work is defined by developing innovative problem statements as well as end-to-end implementation of state of the art ML and statistical algorithms. The candidate is additionally expected to work proactively with a team of junior Data Scientists and guide them in various research projects with a view to publish their findings.
Responsibilities
- Understand Business and product needs and use advanced modeling techniques to provide solutions to those in a time-bound fashion.
- Develop research and hypotheses on problem statements around ongoing work to provide additional value to the organization.
- Keep the team updated on current trends in the area of ML and Statistics, thereby ensuring that state-of-the-art solutions are provided for the business problems.
- Regular collaboration with various stakeholders from business or product to better understand the vision and gain insights that are to be leveraged for providing better solutions.
Qualifications
- B.Tech, BE, M.Tech, MS, PhD.
Required Skills
- Demonstrable experience through publications/deployed solutions/projects.
- A deep understanding of applied statistical analysis and predictive modeling is desired, not limited to regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting, deep learning, text analysis, etc.
- The candidate must have a thorough grasp of the theory and application of broad ML algorithms, namely, but not limited to regression, SVM, Tree, Random Forests, Boosting, Neural Network, clustering, forecasting, deep learning, text analysis etc. It is not expected that the candidate has actually worked on all these modules.
- Strong proficiency in Python or R is necessary.
- Previous work experience: [8-15 Years Exp]
Preferred Skills
- Experience in leading research projects and mentoring junior team members.
- Familiarity with cloud platforms and big data technologies.
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