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Senior Data Scientist, Innovation Lab - Remote

San Diego, CA, us🌐 Remote💼 Full-time🗓 2026-06-18 → 2026-07-30

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

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