Data Scientist

CloudWalkCloudWalk·Remote
Data & Analytics
Excel

WFA Digital Insight

As demand for data-driven solutions grows, CloudWalk's mission to harness AI for operational excellence positions them at the forefront. With a 25% increase in data scientist roles in 2025, skills like machine learning and Python are in high demand. CloudWalk's focus on innovation and collaboration makes this role stand out, especially for those passionate about applying research to real-world problems.

Job Description

About the Role

CloudWalk is seeking a Data Scientist to build, train, and optimize machine learning models for solving business problems like fraud detection. The role involves every stage of the data science workflow, from exploratory data analysis to model deployment and monitoring.

Responsibilities

  • Build and deploy machine learning models
  • Work on research-driven projects applying the latest advancements in machine learning and AI
  • Collaborate in a high-paced environment on projects ranging from evolutionary computation to graph neural networks

Requirements

  • Experience in building and deploying machine learning models
  • Proficiency in Python and machine learning frameworks
  • Ability to work with cloud-based environments

Nice to Have

  • Experience with projects related to fraud detection and risk analysis
  • Knowledge of advanced deep learning architectures like LLMs and GNNs

How to Stand Out

  • Highlight your experience with machine learning frameworks like TensorFlow or PyTorch in your resume and cover letter.
  • Be prepared to discuss your approach to model deployment and post-production monitoring.
  • Showcase projects that demonstrate your ability to apply data science to real-world problems.
  • Familiarize yourself with cloud-based environments like GCP to enhance your candidacy.
  • Prepare to discuss how you handle collaboration in a high-paced environment and your experience with agile methodologies.

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