Full-Time Senior Data Scientist, Remote

Job OverviewExperian Innovation Lab is a research and development unit collaborating with Experian departments to enhance client relationships and acquire strategic datasets. Experian is a global leader providing information, analytical tools, and marketing services to manage risk and reward. We help organizations develop profitable customer relationships.

As a Senior Data Scientist, you will research and develop analytical solutions, prototype new products, and evaluate data assets. You need experience in predictive modeling, machine learning, and deep learning.

Responsibilities

• Create advanced machine learning solutions to extract insights from structured and unstructured data.
• Apply machine learning, deep learning, and processing techniques to unearth data value.
• Design efficient data structures and storage solutions to refine data manipulation and retrieval.
• Innovate with data processing and information retrieval tools.
• Analyze vast datasets to highlight patterns and insights.
• Develop impactful algorithms to solve complex challenges.
• Validate model performance and analyze ROI and benefits.

Requirements

• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or related field.
• 2+ years of experience in AI, data science, or predictive modeling.
• Proficiency in multiple programming languages (including Python).
• Experience with deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
• Experience with open-source tools (PyTorch, Keras, TensorFlow, scikit-learn, pandas).
• Experience with large data analysis using Spark (pySpark preferred).
• Experience with LLMs and Generative AI tools.
• Experience with Hadoop, NoSQL (MapReduce, Hive, HBase, MongoDB, Cassandra).
• Experience modifying and applying advanced algorithms.
• Experience with online, mobile marketing analytics.

Benefits

• 20 vacation days and 12 paid holidays.
• Great compensation and benefits package (including a 20% bonus).
• Flexible work schedule and relaxed dress code.

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