Senior Data Scientist, Innovation Lab
Core
Research and develop analytical solutions, prototype new products, and build advanced machine learning models to uncover insights from structured and unstructured data for the Experian Innovation Lab.
Role type
Senior IC data scientist (machine learning & deep learning)
Builds
Advanced ML models, prototypes, and analytical solutions for financial services, healthcare, automotive, agribusiness, and insurance sectors.
Domain
Financial services, healthcare, automotive, agribusiness, insurance
Deliverable
production ML models
Required skills
Deep learning (CNNs, RNNs, LSTMs, attention-based models), classical ML (SVM, GLM, boosting, random forest), graph models, reinforcement learning, large-scale data analysis, GPU programming
Preferred skills
LLMs, generative AI tools, online/mobile marketing analytics, Hadoop/NoSQL technologies
Technologies
PyTorch, Keras, TensorFlow, scikit-learn, pandas, PySpark, Cassandra, Hadoop, Hive, MongoDB, MapReduce, HBase
Responsibilities
Research and develop analytical solutions, prototype new products, evaluate data assets, build advanced ML models, design efficient data structures and storage approaches, analyze large datasets to identify patterns, develop algorithms to solve complex technical and business challenges, validate model performance and assess ROI and business benefits
Seniority
Senior, hands-on IC