Data Scientist — ML for Smart Home Analytics

Plume; Wrocław; On-site; PLN 180,000 - 340,000; Full time

Job summary

Plume seeks a hands-on Data Scientist to design, build, and deploy data-driven models that extract insights from network telemetry and device data. You will shape features, datasets, and pipelines powering scalable solutions across a growing platform used by millions of locations.

You will work with engineering and product teams to deploy models in production, monitor performance, and contribute to MLOps pipelines while delivering impact under tight timelines.

Qualifications

• 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 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.

Responsibilities

• 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.

Skills

Python

SQL

Data wrangling

Feature engineering

ML modeling

Statistics

Communication

Teamwork

Tools

Pandas

NumPy

Scikit-learn

Job description

Plume seeks a hands-on Data Scientist to design, build, and deploy data-driven models that extract insights from network telemetry and device data. You will shape features, datasets, and pipelines powering scalable solutions across a growing platform used by millions of locations.

You will work with engineering and product teams to deploy models in production, monitor performance, and contribute to MLOps pipelines while delivering impact under tight timelines.