Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Science Consultant developing machine learning and AI applications for TransUnion. Involves data analysis, pipeline building, and collaboration with business stakeholders.
Responsibilities
- Design, develop, and deploy machine learning and deep learning models for real-world applications.
- Analyze large-scale datasets using Spark and SQL to uncover trends and patterns.
- Collaborate with data engineers, analysts, and business stakeholders to define data-driven strategies.
- Build and maintain robust data pipelines and model training workflows.
- Communicate complex findings clearly through visualizations, presentations, and reports.
- Continuously explore and implement the latest advancements in AI and data science.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of experience in data science or machine learning roles.
- Strong proficiency in Python and its data science ecosystem (Pandas, NumPy, Scikit-learn, etc.).
- Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
- Proficiency in Apache PySpark for distributed data processing.
- Advanced SQL skills for data manipulation and analysis.
- Solid understanding of machine learning algorithms, model evaluation, and deployment.
- Experience with cloud platforms (AWS, GCP, or Azure).
- Familiarity with MLOps tools and practices.
- Experience with NLP, computer vision, or time-series forecasting.
- Strong analytical thinking and problem-solving skills.
Benefits
- Competitive salary
Job title
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