Staff Data Scientist, Defect Discovery

Position Summary...

What you'll do...

Walmart’s Defect Discovery team is committed to identifying and visualizing customer defects and friction, and to elevating the voice of the customer to drive meaningful improvements. This role will underpin efforts to transform customers’ Walmart shopping experience by making customer data and insights easy to access and understand, and by identifying and measuring customer experience improvement opportunities.

We are looking for a customer- and data-obsessed individual who thrives in ambiguity, has innate curiosity to explore and learn, and has a passion for data. The work you lead will touch millions of customers across our online and stores experiences.

Our team has broad reach, high exposure, and deep impact. We work cross-functionally across many areas of the business (think: supply chain, store operations, product, marketing, finance, customer care) and get a unique view of what it takes to run a successful omni-channel retailer.

Example past + future projects and responsibilities for someone in this role include:

• Build machine learning models using customer clickstream data, order detail, and contact history to predict incidence of a contact, enabling proactive remediation
• Baseline “ideal” end-to-end customer experiences via clickstream and order data, using these baselines to flag and ultimately remediate unnecessary incremental effort
• Develop, apply, and maintain a detailed ruleset to find the true root cause of customer experience defects
• Identify the correlation between operational metrics and the customer experience
• Use scripting to implement automated tasks including executing data pipelines and reporting
• Build and maintain a data pipeline for core base contact and order datasets

Manager’s Preferred Qualifications

• 7 years of experience in data science, machine learning, optimization models, data analytics, or related field
• Expert in SQL (Google Bigquery preferred), a high-level programming or scripting language (Python and Scala preferred), and Microsoft Excel
• Experience leveraging big data technologies (such as Hive/Hadoop/Spark) and modern data visualization tools (Tableau, Looker) to blend data from multiple sources to help answer multi-dimensional business questions
• Strong oral and written communication skills – including the ability to develop and deliver complex messages in a simple, actionable way
• Strong analytical skills – creative problem solver that can run analyses using sources of information from disparate sources and deliver comprehensive, balanced, and actionable analysis
• Proven ability to bridge data with business insights and context to drive relevant, actionable output
• Experience working with and creating data architectures
• Experience building and maintaining data pipelines
• Understanding of statistical analysis, and common pitfalls of data analysis
• Team player who is a self-starter and able to thrive in a fast-paced, results-oriented environment
• Customer-centricity, passion, and curiosity: passionate about learning about and improving the Walmart customer experience
• Previous eCommerce or Retail experience

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)