Senior Data Scientist

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.

Experience
4-8 yrs