Data Scientist

As a Data Scientist at Plume, you'll design, build, and deploy data-driven models that extract insight from network traffic and telemetry data across a platform serving over 60 million locations globally. You'll shape the features, datasets, and pipelines that power those models while translating business and technical requirements into concrete data analyses, experiments, and production-ready solutions, often working under tight delivery timelines.

What you'll do

• Manipulate, clean, and transform large-scale datasets of network and device telemetry for modeling and analysis
• Design and implement feature engineering strategies that enhance model accuracy, interpretability, and robustness
• Use SQL and Python (Pandas, NumPy, Scikit-learn, etc.) to explore data, build analytical pipelines, and deliver reproducible results
• Translate product or business needs into well-scoped analytical tasks and model development plans
• Build and evaluate machine learning models for anomaly detection, forecasting, and optimization
• Collaborate closely with engineering and product teams to integrate models into production systems and monitor their performance
• Balance experimentation with execution, delivering insights and models efficiently under tight schedules
• Contribute to MLOps workflows for model deployment, validation, and monitoring

What you bring

• Strong programming skills in Python and experience with core data science libraries
• Solid SQL skills for querying, aggregating, and joining complex datasets
• Proven experience transforming messy, high-volume data into structured, high-quality inputs for modeling
• Deep understanding of feature extraction, selection, and transformation for predictive modeling
• Strong grasp of statistics, probability, and applied machine learning
• Ability to understand requirements, scope solutions, and deliver high-quality results on tight timelines
• Excellent communication and teamwork skills across engineering, product, and data functions

About Plume

Plume is an open, hardware-independent, cloud-controlled experience platform for ISPs and their subscribers. The company partners with over 400 ISP customers, including Charter, Liberty Global, and J:COM, and uses OpenSync, an open-source silicon-to-cloud framework for smart spaces, to allow ISPs to decouple service offerings from hardware and rapidly deliver new services across multi-vendor architectures.