Director, Data Science

at Wal-Mart Associates, Inc. in Bentonville, Arkansas, United States

Job Description

Duties: Understands the priority order of requirements and service level agreements. Defines and identifies the most suitable sources for required data that is fit for purpose, referring to external sources as required. Performs initial data quality checks on the extracted data. Reviews the deliverables of junior associates and provides guidance. Analyzes the business problem within one's discipline and questions assumptions to help the business identify the root cause. Identifies and recommends approach to resolve the business problem. Sets data analytics, big data analytics, automation goals, and deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantifies business impact. Evaluates proposed business cases for projects and initiatives. Influences business stakeholder decision making. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives and drives the execution of deliverables. Builds and articulates the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Develops new organization-wide processes and ways of working. Teaches and guides others on best practices. Proactively engages in the external community to build Walmart's brand and learn more about industry practices. Understands, articulates, interprets, and applies principles of the defined strategy to complex business problems. Leverages experiences and learnings to inform and influence data strategy that typically spans one or more functions or domains. Selects appropriate modeling techniques for complex problems with large scale, multiple structured and unstructured data sets. Selects and develops variables and features iteratively based on model responses in collaboration with the business. Supervises 2 (Staff Data Science and Data Scientist).


Minimum education and experience required: Master’s degree or the equivalent in Economics, Statistics, or a related field plus 4 years of experience in analytics or related experience; OR Bachelor’s degree or the equivalent in Economics, Statistics, or a related field plus 6 years of experience in analytics or related experience; OR 8 years of experience in analytics or related experience.


Skills Required: Must have experience with: Coding in an object-oriented programming language (Python, C++); Designing and testing relational and non-relational database management systems; Conducting exploratory data analysis with MySQL, Hadoop and BigQuery; Developing highly scalable machine learning and statistical models with Tensorflow, PyTorch, Keras, Sklearn and other major statistical software; Developing convex, non-convex and network optimization algorithms with CVXPY and Gurobi; Designing organization-wide new processes in data management, machine learning model architecture and distributed model deployment infrastructure; Implementing controlled experiments and other causal inference analysis for statistically sound and actionable strategy recommendations; Performing model validations and clearly documenting evidence of validation activities with guidance on future model iterations; and Attracting, mentoring and supervising junior quantitative talent. Employer will accept any amount of experience with the required skills.

To apply for this position:  Send your resume to and reference the following Job ID number: R-660088

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Job Posting: 2989009

Posted On: Jul 20, 2021

Updated On: Aug 20, 2021