Data Scientist, Innovation Lab - Remote

Role Overview

Join the Experian Innovation Lab (R&D) to build advanced analytical and machine learning solutions. You’ll collaborate with Experian teams and help develop product prototypes by evaluating and selecting valuable data assets.

Responsibilities

• Develop advanced machine learning and analytical solutions using diverse structured and unstructured data
• Unearth data value by selecting and applying appropriate ML/deep learning and processing techniques
• Design efficient data structures and storage solutions for data manipulation and retrieval
• Innovate with data processing and information retrieval tools
• Analyze large datasets to identify patterns, insights, and key signals
• Solve complex problems by developing impactful algorithms
• Validate model performance (including ROI/benefits) and ensure model excellence
• Document, articulate, and present model processes, outcomes, and performance metrics

Requirements

• Master’s degree or higher in Machine Learning, Data Science, AI, Computer Science, or related quantitative field
• 1+ years of experience in AI, data science, or predictive modeling
• Proficiency in at least one programming language, with coding skills in Python
• Experience with deep learning (CNN, RNN, LSTM, attention models) and ML methods (e.g., SVM, GLM, boosting, random forest)
• Experience with graph models or reinforcement learning (one of these areas)
• Experience with open-source deep learning/ML tools: PyTorch, Keras, TensorFlow, scikit-learn, pandas
• Experience with large-scale data analysis using Spark (PySpark)
• Experience with LLMs and Generative AI tooling
• Experience developing advanced language models and applying Generative AI-based tools
• Experience with Hadoop and NoSQL technologies (e.g., MapReduce, Hive, HBase, MongoDB, Cassandra)

Nice to Have

• None explicitly stated beyond the breadth of listed data/ML/GenAI ecosystem experience.