Senior Data Scientist

🔥 0 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 15%

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Plume Design, Inc

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Plume Design, Inc. is a technology company that specializes in providing advanced smart home and business connectivity solutions. Their platform enhances digital interactions through innovative products like HomePass and WorkPass, designed to optimize WiFi networks for residential and commercial use, while also offering valuable insights for property management. Plume aims to improve user experiences by offering adaptive, secure, and efficient services that cater to the needs of families, small businesses, and larger property managers.

📋 Description

• Lead, develop, maintain and improve ML/LLM projects and other automations • 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, including Pandas, NumPy, and Scikit-learn, to explore data and build analytical pipelines • Translate product or business needs into 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 • Deliver insights and models efficiently under tight schedules • Contribute to MLOps workflows for model deployment, validation, and monitoring

🎯 Requirements

• Experience in leading, developing and owning AI projects • Strong experience in ML/LLM techniques and implementation • 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 • Experience in AWS cloud services, including SageMaker and S3

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