Full-Time Data Scientist, Remote
Experian is hiring a remote Full-Time Data Scientist, Remote. The career level for this job opening is Experienced and is accepting United States based applicants remotely. Read complete job description before applying.
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OverviewExperian Innovation Lab is a research and development unit dedicated to enhancing client relationships and acquiring strategic datasets. We leverage our understanding of individuals, markets, and economies to help organizations build profitable customer relationships.
As a Data Scientist, you'll develop analytical solutions, contribute to product prototypes, and assess data assets. You will bring expertise in predictive modeling, machine learning, and deep learning.
Responsibilities
- Craft advanced machine learning solutions to extract insights from diverse data sources (structured and unstructured).
- Identify data value by selecting and applying appropriate machine learning, deep learning, and processing techniques.
- Design efficient data structures and storage solutions to refine data manipulation and retrieval.
- Innovate with tools for data processing and information retrieval.
- Analyze vast datasets to highlight patterns and insights.
- Develop impactful algorithms to solve complex challenges.
- Validate model performance, analyze ROI, and ensure model excellence.
- Document and present model processes, outcomes, and performance metrics.
Qualifications
- Advanced degree 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 Python coding skills).
- Deep learning experience (CNN, RNN, LSTM, attention models).
- Experience with machine learning methodologies (SVM, GLM, boosting, random forest), graph models, or reinforcement learning.
- Experience with open-source tools (PyTorch, Keras, TensorFlow, scikit-learn, Pandas).
- Experience with large data analysis using Spark (PySpark preferred).
- Experience with LLMs, Generative AI tools, and developing advanced language models.
- Experience applying Generative AI-based tools.
- Experience with Hadoop and NoSQL technologies (MapReduce, Hive, HBase, MongoDB, Cassandra).
- Experience modifying and applying advanced algorithms to solve practical problems.
Benefits
- 20 vacation days and 12 paid holidays
- Comprehensive benefits package and competitive compensation.
- 20% bonus potential
- Flexible work schedule and relaxed dress code