Senior – Data Scientist

Senior – Data Scientist

Requirements

• Deep Understanding of Machine Learning and AI: The candidate should possess a robust understanding of various machine learning algorithms, artificial intelligence, and deep learning techniques. This includes but is not limited to neural networks, regression models, gradient boosting algorithms, reinforcement learning, and large language models. They should be able to develop models with both structured and unstructured data sets.
• Proficiency in Programming, SQL and Data Analysis: The candidate should be highly proficient in languages such as Java, Python, PySpark, and have experience with machine learning frameworks like Tensorflow and PyTorch. They should be capable of using these technologies to design and develop high-performance applications. Additionally, they should have strong knowledge in data analysis methods like dimensionality reduction, predictive modelling, clustering, text mining for effective feature engineering.
• Experience in Large Scale Applied ML Model Building: The candidate should have a prior track record of successfully building, deploying, and maintaining large-scale machine learning models in a production environment. This includes handling large volumes of data, optimizing model performance, and ensuring the scalability of the solution.
• Innovation and Problem-Solving Skills: As the role involves working with new technologies, the candidate should have the ability to innovate and solve complex problems. They should be able to adapt to new technologies quickly and find creative solutions for various business problems.

Responsibilities

• Leverage machine learning technologies such as Java, Python, Pyspark, Tensorflow, and PyTorch to design, develop, and implement high-performance, scalable applications for personalized recommendations.
• Create robust machine learning models using structured and unstructured data sets and advanced algorithms, including Neural Networks, Regression Models, and Gradient Boosting Algorithms.
• Collaborate with data engineers and software developers to design and implement data pipelines and architectures that support recommendations at scale.
• Work with stakeholders across the company to understand business needs and develop data-driven solutions that drive insights and automation.
• Communicate findings and insights to stakeholders through clear and concise reports and presentations.
• Stay up to date with the latest developments in machine learning and apply this knowledge to improve our products and processes.

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 (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.