Found.dev
Role Highlights
Languages used
Python
SCALA
Key skills
Deep Learning
Reinforcement Learning
Feature Engineering
Machine Learning
ML Ops
Data Science
Applied ML
Explainable Ai
Computer Science
CICD
Operations Research
Open Source
Information Technology
Applied Mathematics
GNNs
LLMs
Inference
Modelling
E2E
Testing
Optimization
Interpretability
PhD
Psychology
AI
Graph
Cloud
Statistics
Economics
Tools, Libraries and Frameworks
GCP
Azure
PyTorch
Tensorflow
Scikit-learn
Description
The role involves serving as a technical anchor for a price recommendation engine. The individual will lead the scientific design and end-to-end execution of high-frequency pricing systems. Responsibilities include designing and deploying prescriptive machine learning models to address pricing and markdown needs. The role requires performing elasticity analysis across large data sets to support data-driven decisions. Additionally, the individual will build explainable pricing systems and establish evaluation and monitoring processes. The position also involves collaborating with product, business, and engineering teams to set technical direction and mentor team members.
Required Qualifications and Skills
Candidates must have 8 years of experience in data science or applied machine learning, or a PhD with 5 years of experience. Required technical proficiencies include deep learning frameworks, pricing dynamics, and explainable AI. Candidates must possess excellent coding skills in Python and a strong grasp of software engineering fundamentals. Minimum education requirements include a bachelor's degree in a quantitative field with 4 years of experience, a master's degree with 2 years of experience, or 6 years of experience in an analytics-related field.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Walmart
Description
Sixty years ago, Sam Walton started a single mom-and-pop shop and transformed it into the worlds biggest retailer. Since those founding days, one thing has remained consistent: our commitment to helping our customers save money so they can live better. Today, were reinventing the shopping experience and our associates are at the heart of it. When you join our Walmart family of brands (Sam's Club, Bonobos, Moosejaw and many more!), youll play a crucial role in shaping the future of retail, improving millions of lives around the world. We are ecstatic to have been named a Great Place to Work® Certified May 2023 May 2024, Disability: IN 2023 Best Places to Work, and Fast Company 100 Best Workplaces for Innovators 2023. This is that place where your passions meet purpose. Join our family and build a career youre proud of.
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