Data Scientist III

Sam's Club - Dallas, TX

Full-time - Mid Level

Dallas, TX

Merchant Wholesalers, Durable Goods

About the position

The Data Scientist III position involves applying advanced analytical techniques to solve complex business problems, developing and deploying analytical models, and mentoring junior associates. The role requires a strong understanding of data strategy, analytical modeling, and data visualization, with a focus on delivering actionable insights to support business decisions.

Responsibilities

• Support the development of business cases and recommendations.
• Own delivery of project activity and tasks assigned by others.
• Support process updates and changes.
• Solve business issues using data-driven approaches.
• Identify appropriate data sets for developing models and maintain data quality.
• Articulate and apply data strategy principles to routine business problems.
• Select and develop custom analytical models for structured, complex data.
• Conduct exploratory data analysis, including statistical analysis and hypothesis testing.
• Define and finalize features based on model responses and enhance analysis outcomes.
• Identify experiment dimensions, finalize design, test hypotheses, and conduct experiments.
• Perform trend and cluster analysis to provide business insights and recommendations.
• Mentor and guide junior associates on modeling and analytics techniques.
• Support deployment and scalability of analytical models into production.
• Write and test code for required solutions and application features.
• Translate business problems into data-related or mathematical solutions.
• Assess model performance through fit testing and statistical inferences.
• Generate graphical representations of data and model outcomes under guidance.
• Present findings and influence team decisions using appropriate frameworks.

Requirements

• Master's degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field; OR Bachelor's degree with 2 years of experience in analytics or related experience.
• Experience with programming languages such as Python and C++.
• Knowledge of data structures and algorithms (DSA) and Object-Oriented Programming (OOP).
• Familiarity with version control, containers, and virtual machines (VMs).
• Experience with OpenCV techniques and image processing methods.
• Proficiency in deep learning frameworks like TensorFlow, Keras, and PyTorch.
• Experience in designing and implementing computer vision models in GPU-accelerated environments.
• Knowledge of data science techniques including multi-dimensional regression, SVMs, KNN, PCA, and clustering techniques.
• Experience in building and scaling Convolutional Neural Networks (CNNs) and fine-tuning models like YOLO and R-CNN.
• Familiarity with depth and stereo cameras and running computer vision pipelines on edge devices.
• Proficiency in data analysis using libraries like scipy, scikit-learn, matplotlib, seaborn, and pandas.
• Experience working with REST APIs and server-client architecture.