Principal Data Scientist

Cutsforth, LLC • Ferndale, WA • 6d ago

[Role Information:]{.underline}

Job Title: Principal Data Scientist

Work Location: Fully remote position, home office

Employment Type: Full-time

Employment Status: Exempt, salaried Visa sponsorship is not available for this position. Must reside in the United States. We are not accepting applicants for remote workers in California, Illinois, and New York at this time.

[Alignment with Corporate Values:]{.underline}

All Cutsforth employees are expected to perform their work in a manner that exhibits understanding and adherence to the Company Mission and Core Attributes of Cutsforth Employees. Employees in management roles must exhibit continual improvement along Cutsforth's Leadership Traits. Further, each employee must read and adhere to corporate policies and safety protocols.

Learn more about Cutsforth here: [com/About]{.underline}

Read our Mission & Values here: [com/Values]{.underline}

[Compensation:]{.underline}

$173,330 - $201,043 year/ based on number of years of experience

[Role Overview:]{.underline}

The Principal Data Scientist is responsible for leading the design, development, and deployment of advanced data science and AI-driven solutions that deliver measurable business value. This role combines deep technical expertise in machine learning, artificial intelligence, statistical modeling, and data mining with strong collaboration and strategic insight to solve complex problems across embedded systems, applications, and platforms.

The Principal Data Scientist will define project requirements, partner with engineering, product, and business stakeholders to translate objectives into high impact analytics initiatives and serve as the primary subject matter expert in AI and advanced analytics. Leveraging applied mathematics, predictive modeling, and generative AI techniques, this role drives innovation, uncovers actionable insights, and creates new opportunities within strategic accounts and the broader marketplace.

[Key Responsibilities:]{.underline}

Lead the design, development, training, and deployment of machine learning and AI models to process, analyze, and derive insights from field equipment sensor data (e.g., time-series IoT, embedded device telemetry) alongside structured/unstructured datasets.

Build and optimize predictive, prescriptive, and anomaly detection models using advanced ML techniques (e.g., regression, time-series forecasting, deep learning) to enable real-time or near-real-time decision-making from sensor streams and other data sources.

Integrate AI into end-to-end workflows, including automated data ingestion, feature engineering, model training pipelines, inference at the edge or cloud, and continuous monitoring for drift/performance degradation.

Perform exploratory data analysis (EDA), preprocessing, and feature extraction on high-volume, noisy sensor data and multimodal natural datasets to uncover patterns, correlations, and actionable insights.

Collaborate with engineering, product, and domain experts to translate business problems (e.g., predictive maintenance, fault detection, optimization) into data science/AI solutions that deliver measurable impact.

Apply statistical modeling, causal inference, and experimentation (A/B testing, hypothesis testing) to validate models and ensure robustness in dynamic, real-world environments involving sensor and operational data.

Champion AI-driven innovation by exploring emerging techniques (e.g., generative AI

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