Senior Data Scientist

Summary

Join Experian's Innovation Lab as a Principal Data Scientist to research, develop, and prototype analytical solutions and new products. You will leverage your expertise in predictive modeling, machine learning, and deep learning to extract insights from diverse data sources. Responsibilities include creating advanced machine learning solutions, refining data manipulation, innovating with data processing tools, and documenting datasets. You will also solve complex challenges through algorithm development and ensure model excellence by validating performance. This role reports to the Director of Data Science and offers a great compensation package, flexible work schedule, and a relaxed dress code.

Requirements

• Advanced degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field
• 2+ years of experience in AI, data science, or predictive modeling
• Proficiency in multiple programming languages, including Python
• Experience in deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, or reinforcement learning
• Experience with open-source tools for deep learning and machine learning technology such as pytorch, Keras, tensorflow, scikit-learn, pandas
• Experience with large data analysis using Spark (pySpark preferred)
• Experience with LLMs and the relevant tools in the Generative AI domain
• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra
• Experience modifying and applying advanced algorithms to address practical problems
• Experience with online, mobile marketing analytics
• Experience with GPU programming

Responsibilities

• Create advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques
• Refine data manipulation and retrieval through the design of efficient data structures and storage solutions
• Innovate with tools designed for data processing and information retrieval
• Dissect and document vast datasets, analyzing them to highlight patterns and insights
• Solve complex challenges by developing impactful algorithms
• Ensure model excellence by validating performance scores and analyzing Return on investment and benefits

Benefits

• 20 vacation days to start (along with 12 paid holidays)
• Great compensation package and comprehensive benefits package, with a bonus of 20%
• Flexible work schedule and relaxed dress code