About the role
Responsibilities:
- Apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimisation methods and other ML techniques.
- Develop efficient and scalable models at Walmart scale.
- Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
- Define and/or own the model goodness metrics and track the business impact over time.
- Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.
- Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research.
- Integrate data science solutions into current business processes.
- Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
- Mentor peers and junior members and handle multiple projects at the same time.
- Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
- Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab's environment.
- Peer review and publish work in top-tier ML/AI conferences such as NIPS, ICML, AAAI and COLT.
- Participate and speak at various external forums such as research conferences and technical summits.
- Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.
Requirements:
- PhD with > 2 years of relevant experience / 4-year bachelor's degree with > 6 years of experience / Master's degree with > 4 years of experience.
- Educational qualifications should preferably be in Computer Science or a strongly quantitative discipline.