Learns to create business cases for projects with a projected return on investment or cost savings. Demonstrates foundational knowledge of the business unit/organization being supported. Learns identify and define the operational metrics that impact business outcomes by establishing partnerships across the organization. Collaborates with various business stakeholders to understand the factors and trends relevant to organizational performance. Gathers and interprets data, information, and content in a digital environment. Contributes to the data collection process by following data quality practices. Learns digital techniques and tools for the effective representation of the data to stakeholders. Learns fact-finding techniques and diagnostic tools used to identify and break down business problems and enhance customer experiences.
Additional Preferred Qualifications:
Experience as programmer or data scientist
Experience in PySpark, Google Cloud, Hive, Hadoop, and other Big Data or Cloud technology
Experience with advance large scale Optimization algorithms
Papers or talks or blogs related Data Science topics
Walmart Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them.
That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Our Ideal Candidate
You are an academically strong, with interest and inclination to excel in Machine Learning and Computational algorithms, with team player attitude and excellent communication skills. You enjoy problem solving and are keen to learn new algorithm and technology to discover innovative ways to solve problems.
Completed or about to complete Masters degree or above in Computer Science/Statistics/Mathematics/Econometrics/Machine Learning/Data Science
Taken relevant statistical or ML courses and done relevant projects during your program
Have basic familiarity in supervised and unsupervised machine learning
Have experience in statistics and mathematics around probability, hypothesis testing, computation complexity, data structures
Hands on experience with one or more of Python and SQL
Structured communication and problem-solving abilities