Data Scientist - Tech Ops

Location: Long Island City

Kforce has a client that is seeking a Data Scientist in Long Island City, NY.

Summary:

We are seeking a Data Scientist with strong Machine Learning and engineering experience to support predictive maintenance and operational optimization initiatives. This role focuses on building models and analytics that improve fleet reliability, reduce downtime, and enable proactive maintenance decisions.

Key Responsibilities:

* Build and deploy predictive models to forecast equipment/component failures

* Analyze sensor, maintenance, and operational data to identify patterns and failure signals

* Develop solutions to differentiate root causes vs. temporary fixes and recurring verses isolated issues

* Design data pipelines and real-time monitoring solutions

* Partner with cross-functional teams to improve maintenance efficiency and fleet planning

* Translate complex data insights into actionable recommendations
* Strong experience with Machine Learning, data pipelines, and production environments

* Proficiency in Python, SQL, and modern data/ML tools

* Experience working with large-scale or real-time data

* Analytical mindset with strong problem-solving and communication skills

* Experience in aviation, maintenance, or operational analytics

* Background in predictive maintenance or reliability modeling

* Exposure to emerging AI/LLM-based solutions