Note: The job is a remote job and is open to candidates in USA. Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a Senior Data Scientist in the Innovation Lab, you will research and develop analytical solutions, prototype new products, and evaluate data assets using advanced machine learning techniques.
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
Skills
- 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), 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 pySpark
- 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
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
Company Overview
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