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What We'll Bring:
Key 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.
What You'll Bring:
Required Qualifications:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
4+ 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.
Preferred Qualifications:
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.
Impact You'll Make:
N/A
This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.
TransUnion Job Title
Sr Consultant, Data Science and Analytics
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