Senior Data Scientist, Innovation Lab - Remote

Position Overview

Experian Innovation Lab is a research and development unit at Experian focused on enhancing client relationships and acquiring strategic datasets. As a Senior Data Scientist at the Innovation Lab, you will research and develop analytical solutions, prototype new products, and evaluate data assets, leveraging your expertise in predictive modeling, machine learning, and deep learning. You will report to the Sr. Principal Data Scientist. Experian is a global leader in providing information, analytical tools, and marketing services that help organizations and consumers manage risk and improve profitability. The company’s extensive reach spans various market segments including financial services, healthcare, automotive, and more.

Key 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.

Required Qualifications

• Education: Master's Degree or higher 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) and machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
• Proficiency with open-source tools for deep learning and machine learning such as PyTorch, Keras, TensorFlow, scikit-learn, and pandas.
• Experience with large data analysis using pySpark.
• Familiarity with LLMs and relevant tools in the Generative AI domain.
• Experience with Hadoop and NoSQL technologies such as MapReduce, Hive, HBase, MongoDB, and Cassandra.
• Ability to modify and apply advanced algorithms to address practical problems.
• Experience with online and mobile marketing analytics.
• Experience with GPU programming.

Benefits & Perks

• Great compensation package and bonus plan
• Core benefits including medical, dental, vision, and matching 401K
• Flexible work environment with options to work remote, hybrid, or in-office
• Flexible time off including volunteer time, vacation, sick leave, and 12 paid holidays
• For more details, explore all our exciting benefits at: https://yourexperianbenefits.com/cand-index.html