Data Scientist
Data Scientist
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1 Vacancy
Job Description
Data Scientist.
Prefer a candidate with more ML modeling experience.
Qualifications
Solid background in machine learning deep learning statistical analysis and software development
Proficient in data mining machine learning and deep learning packages in Python/Tensorflow/Keras
Experience working with large data sets and cloud computing (Hive Spark GCP or Azure)
Proficient in coding SQL Python Java or JavaScript
Advanced degree (Master or PhD) in any STEM field plus 46 years of related experience
Option 1- Bachelors degree in Statistics Economics Analytics Mathematics Computer Science Information Technology or related field and 3
Information Technology or related field and 1 years experience in an analytics related field
Option 3 - 5 years experience in an analytics or 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 (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 Walmarts accessibility standards and guidelines for supporting an inclusive culture
Responsibilities
Perform hands-on data exploration processing and analysis on massive data sets
Use machine learning deep learning reinforcement learning techniques to develop robust solution for Account Takeover detection payment fraud detection fake account signup solutions and identity risk assessment
Communicate the results to stakeholders and present the projects in internal or external conferences
Research and develop advanced algorithms and techniques that address complex business problems
Utilize the broad and deep knowledge of Machine Learning and Software Engineering to contribute to the teams core machine learning capabilities
ML senior engineers
Technical Skills
Must have:
Expertise in Python and experience with ML frameworks (TensorFlow PyTorch Scikit-learn etc.).
Strong Experience in deployment/devops technologies: CI/CD pipelines Kubernetes/Docker and infrastructure-as-code tools (Terraform Ansible etc.). and cloud-native architectures (GCP and Aruze) monitoring and observability for ML workloads
Advanced understanding of ML pipeline orchestration tools like Kubeflow MLflow Airflow or TFX.
Nice to have:
Experience with distributed computing frameworks (e.g. Spark Ray Dask) is a plus.
Familiarity with model explainability fairness and bias detection tools is highly desirable.
Strong knowledge of security best practices for ML systems including data encryption API security and governance.
Employment Type
Full Time
