Data Scientist

Position Summary

We are looking for a Senior Data Scientist with a strong foundation in Machine Learning, Algorithms, and experienced with AI-native development to help drive our AI Initiatives and contribute to the development of our Real-Time Analytics Platform. This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems — and who actively leverage AI tools to accelerate their work.

Responsibilities

• Design, build, and optimize ML models and solutions — spanning traditional statistical ML, neural networks, and deep learning — to solve real-world problems in large-scale, real-time digital performance analytics.
• Develop innovative approaches for predictive modeling, anomaly detection, and automated alerting using time series and other complex datasets.
• Apply the full algorithm spectrum: from classical methods (regression, tree-based ensembles, clustering) to advanced deep learning architectures (transformers, LSTMs, CNNs) as the problem demands.
• Support AI initiatives including designing AI-driven alerts and contributing to AI roadmaps.
• Develop POC code and implement ML solutions that improve product capabilities — using AI coding tools (e.g., Claude, Cursor) natively to accelerate prototyping, code review, and iteration cycles.
• Process and analyze large-scale data using Ray and Spark.
• Collaborate with cross-functional engineering and product teams to integrate models into production systems.
• Stay current with industry trends in AI/ML and bring innovative approaches to the team.

Qualifications

• PhD in Computer Science, Statistics, or related field; or MS with 5+ years of applied ML/data science experience.
• Traditional ML: regression, classification, ensemble methods, clustering, dimensionality reduction
• Deep Learning & Neural Networks: CNNs, RNNs/LSTMs, Transformers, attention mechanisms
• Statistical modeling & algorithms: optimization, Bayesian inference, probabilistic modeling
• Proficiency in Python (primary), Scala, or similar languages for production-grade data science.
• AI-native developer: actively uses AI tools (Claude, Cursor, GitHub Copilot, or equivalent) in daily workflow for coding, debugging, and solution design — not just awareness, but habitual, productive use.
• Thrives in fast-paced, ambiguous environments and collaborates effectively across teams.

Benefits Summary

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.