Job
Description
As a Staff Data Scientists 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. Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future plans. 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 Your Responsibility: 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 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 What You will Bring PhD with > 4 years of experience / Masters degree with > 7 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 analyzing 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: Forecasting, Classification, Data/Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Neural Networks, Deep Learning Algorithms and Re-inforecement Learning Experience in statistical learning: Predictive Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic / Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience working with big data - identifying trends, patterns, and outliers in large volumes of data. Experience with Python and one Object Oriented Programming Language. Worked with at least one main stream machine learning framework such as caffe, convNet, Tensor Flow and Torch Experience with SQL, relational databases and data warehouse Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark / H20 Domain Knowledge : Merchandising Divisions in Retail. Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.
