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# Data Scientist

- **Company:** SIGMA RECRUITING LLC
- **Location:** Galway, NY, United States (Remote available)
- **Salary:** $80,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Tableau (Software), Feature Engineering, Sql Optimization
- **Published:** October 3, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pous2m8t58

## About the Role

* Senior-level experience in professional data science roles.
 * Advanced applied machine learning and predictive modelling experience (especially supervised ML for maintenance, anomaly detection, rare event prediction).
 * Advanced SQL skills and a track record of exploring large, structured IoT/telemetry datasets independently, feature engineering, and building modelling datasets.
 * Deep expertise with Python/R, Tableau, and cloud technologies.
 * Proven ownership and independent problem-solving.
 * Ability to communicate analytical insights effectively to a technical and business audience.
 * Knowledge of automotive engines and their performance is an advantage.

## Description

* Become part of a global leader in climate innovation, recognised for efficient and sustainable solutions across buildings, homes, and transportation.
 * They are dedicated to inclusion, innovation, and sustainability, where your contributions support a better environment and employee experience.
 * Work within a collaborative and purpose-driven team that values continual improvement and individual growth.

About Your New Job

 * Lead and manage end-to-end projects, transforming ambiguous business or engineering problems into working, scalable solutions.
 * Build and validate supervised machine learning models for predictive maintenance, failure prediction, and anomaly detection using structured time-series sensor data.
 * Chart the data exploration process: independently aggregate and join multiple large structured IoT/telemetry datasets, identify useful signals, and engineer features for modelling.
 * Collaborate cross-functionally with engineering, product, and data teams to define analytical solutions, translate findings into business impact, and visualise complex insights.
 * Own projects to drive business decisions, delivering impactful metrics, reports, and model outputs to diverse stakeholders.