What are the responsibilities and job description for the Data Scientist position at ACL Digital?

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 / Client / CV problem statements
Develops custom Client / 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 Client / 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, Master's 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)

Additional Job Details

Bonus points for experience with on device computer vision models.

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