Data Scientist

About the role

Plume is looking for a hands‑on, impact‑oriented Data Scientist who thrives on solving complex problems with data. You will design, build, and deploy data‑driven models that extract insight from network traffic and telemetry data while shaping the features, datasets, and pipelines that power those models.

Key responsibilities

• Manipulate, clean, and transform large‑scale network and device telemetry datasets for modeling and analysis.
• Design and implement feature‑engineering strategies to improve 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 with engineering and product teams to integrate models into production systems and monitor performance.
• Balance experimentation with execution, delivering insights and models efficiently under tight schedules.
• Contribute to MLOps workflows for model deployment, validation, and monitoring.

Required profile

• 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.

Required skills

• Python
• Pandas
• NumPy
• Scikit‑learn
• SQL
• MLOps workflows