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.
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