Senior Principal Data Scientist

Summary

Join Experian's Innovation Lab as a Senior Principal Data Scientist to lead the R&D roadmap, spearhead the development of analytical solutions, and prototype new products. You will leverage your expertise in predictive modeling, machine learning, and deep learning to address client challenges. Responsibilities include understanding market trends, guiding R&D efforts using the latest AI and machine learning technologies, and coaching junior team members. You will craft advanced machine learning solutions, improve data management processes, and ensure model excellence. The role requires a Ph.D. in a related quantitative field and over 10 years of experience in AI and data science. Experian offers a great compensation package, core benefits, a flexible work environment, and flexible time off.

Requirements

• Ph.D degree in Machine Learning, Data Science, AI, Computer Science, or a related quantitative field
• More than 10 years of experience in AI, data science, and predictive modeling
• Track record in leading development of impactful analytical solutions with Return on investment for fraud detection, risk management, or marketing optimization
• Experienced in leading sizable teams to develop AI driven analytical solutions
• Proficiency in multiple programming languages, including Python, Java, C++, and C
• Experience developing analytical solutions using deep learning (CNN, RNN, LSTM, attention models), machine learning methodologies (SVM, GLM, boosting, random forest, etc.), graph models, and 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 developing advanced language models
• Experience in developing and applying Generative AI based technology
• Experience with Hadoop and NoSQL related technologies such as Map Reduce, Hive, HBase, mongoDB, Cassandra
• Experience with GPU programming

Responsibilities

• Understand market trends and our clients' pain points, to lead, along with other Lab leaders, the Lab's R&D road map for next 3-5 years to addresses industry needs
• Follow new technologies in AI and Machine Learning, and guide the R&D efforts to apply the latest technology to address our client's challenges
• Lead the development of impactful analytical solutions with Return on investment related to Identity management, fraud detection, risk management, and marketing optimization
• Solve complex challenges by developing impactful algorithms
• Craft advanced machine learning analytical solutions to extract insights from diverse structured and unstructured data sources
• Lead efforts to improve the Lab's data management, data processing, knowledge discovery and modeling process
• Coach junior team members of the Lab
• Unearth data value by selecting and applying the right machine learning, deep learning and processing techniques
• Improve 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
• Ensure model excellence by validating performance scores and analyzing Return on investment and benefits
• Articulate model processes and outcomes, documenting and presenting findings and performance metrics

Benefits

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment, ability to work remote, hybrid or in-office
• Flexible time off including volunteer time off, vacation, sick and 12-paid holidays