Full-Time Data Scientist, Innovation Lab (Remote)

Experian Innovation Lab is seeking a Data Scientist to develop analytical solutions, contribute to product prototypes, and evaluate data assets. The ideal candidate will bring experience in predictive modeling, machine learning, and deep learning.

You'll have opportunity to:

• Craft advanced machine learning analytical solutions from diverse data sources.
• Unearth data value by applying machine learning, deep learning, and processing techniques.
• Refine data manipulation through efficient data structures and storage solutions.
• Innovate with tools designed for data processing and information retrieval.
• Dissect and document vast datasets to highlight patterns and insights.
• Solve complex challenges by developing impactful algorithms.
• Validate model performance and analyze Return on investment.
• Articulate model processes and outcomes, documenting and presenting findings.

Requirements:

• Master's degree or higher in Machine Learning, Data Science, AI, Computer Science, or a 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), machine learning methodologies (SVM, GLM, boosting, random forest), 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 developing advanced language models
• Experience applying Generative AI-based tools
• 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

What is the last date for applying to the job?

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