Walmart
Location
Chennai | India
Job description
What you will do:
As a Staff Data Scientist for Walmart Labs, you ll have the opportunity to
Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable insights from terabytes of data.
Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
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.
Create recommendation models for personalizing user experience.
Develop PoC, present lucidly to the business and evolve the solutions.
Take forward the solutions into Pipelines/APIs as needed by the business.
Research, learn/disseminate adapt new technologies to solve problems improve upon existing solutions.
Adopt Wal-Mart s quality standards and develop and recommend process standards and best practices across the retail industry.
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.
Peer review and publish work in top tier ML/AI conferences
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.
What you will bring:
PhD with 6 years of experience / master s degree with 8 years of experience / bachelors degree with 9 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.
Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.
Expertise in machine learning, supervised and unsupervised: Recommendation models for ranking, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning
Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
Worked with at least one mainstream machine learning framework such as Tensor Flow, Torch
Experience with SQL, relational databases and data warehouse
Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark
Domain Knowledge : Personalization
Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.
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