Senior Data Scientist, Innovation Lab - Remote
Core
Research and develop analytical solutions, prototype new products, and evaluate data assets to extract insights from diverse structured and unstructured data sources.
Role type
Senior IC machine learning engineer (generative AI & predictive modeling)
Builds
Advanced machine learning analytical solutions, prototypes, and efficient data structures for client relationships and strategic datasets.
Domain
Financial services, marketing analytics, and generative AI
Deliverable
production ML models
Required skills
predictive modeling, machine learning, deep learning, Python, PyTorch, TensorFlow, scikit-learn, pandas, PySpark, Hadoop, NoSQL, GPU programming, LLMs, Generative AI tools
Preferred skills
CNN, RNN, LSTM, attention models, SVM, GLM, boosting, random forest, graph models, reinforcement learning, online/mobile marketing analytics
Technologies
PyTorch, Keras, TensorFlow, scikit-learn, pandas, PySpark, Hadoop, Map Reduce, Hive, HBase, MongoDB, Cassandra
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.
Seniority
Senior, hands-on IC