Data Scientist

Open to remote or Walmart hub
Seeking Senior Level

Data Scientists in the Sam's Club Technology division specialize in applying computer vision machine learning and artificial intelligence to solve problems across Merchandising Marketing Club Operations Finance eCommerce and Security. You will have the opportunity to work with a high caliber team from a variety of disciplines to build new software and radically change our business. Data Scientists work as part of an Experience Team to develop and deploy advanced algorithms at scale. You will support and enable the entire project lifecycle including problem discovery with business clients algorithmic design coding validation deployment testing and monitoring. Data Scientists adhere to agile software development standards through rapid prototyping iterative development and incremental deployment of capabilities.

Key Responsibilities

Performs research and applies new techniques and concepts to solve problems

Understands and translates business and functional needs into AI/ML/CV problem statements

Develops custom ML/CV models to drive innovative business solutions

Manages and integrates complex data sets from multiple disparate data sources

Writes complex queries and extracts data to build robust data pipelines

Collaborates with Engineering teams to integrate algorithms into tools processes and interfaces

Performs exploratory data analysis and develops models to identify trends and opportunities

Builds and deploys reusable services and utilities that can be leveraged by a wide range of applications

Applies innovative and scientific approaches to augment and automate business decisions

Skills

Proficiency in machine learning algorithms such as multi-class classifications decision trees support vector machines deep learning and anomaly detection

Strong understanding of probability and statistical models generative and descriptive models

Ability to run experiments scientifically and analyze results

Ability to effectively communicate technical concepts and results to business audiences in a comprehensive manner

Ability to collaborate effectively across multiple teams and stakeholders including analytics teams development teams product management and operations

Must Haves

5 years experience in building ML/CV based models in a professional environment

Experience with productionizing Machine Learning solutions in cloud environment

Strong background in Statistics and Operational Research

Familiarity with Deep Learning and computer vision algorithms

Proficiency in coding Python

Experience with creating models that run on device such as a smart phone

Preferred Qualifications
Data science machine learning optimization models Masters degree 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 e.g. Scikit learn TensorFlow Torch
Bonus points for experience with on device computer vision models.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.