Data Scientist: Predictive Maintenance & Reliability

NexTier Completion Solutions Inc.

Houston (TX)

On-site

USD 95,000 - 140,000

Full time

9 days ago

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

NexTier Completion Solutions Inc. is seeking a Data Scientist for the Smart Maintenance initiative to support digital twins and predictive models, reducing operational uncertainty and strengthening uptime during dynamic operations.

You will integrate telemetry, develop AI-driven tools, and help create cost-visibility models while collaborating with field teams to deliver data-driven maintenance actions. The role requires Python expertise, cloud experience (AWS, GCP, Azure), and a foundation in

Qualifications

Bachelor's degree in Mechanical/ Petroleum/ Data Science or related field.
0-5 years of data science modeling or reliability engineering experience.
2+ years deploying data-science algorithms on cloud platforms (AWS, GCP or Azure).
Basic understanding of maintenance workflows and asset hierarchies.

Responsibilities

Develop predictive models and automated tracking tools for proactive maintenance.
Integrate equipment telemetry and data streams into models.
Build and test AI-driven tools and trend models.
Develop cost-visibility models for TCO at fleet levels.
Rationalize and optimize alarm systems to reduce noise.
Monitor system alerts to enable condition-based maintenance.
Link information across systems and work orders to maintain data integrity.
Design user-friendly interfaces for field personnel with equipment history.