Sr. Reliability Data Scientist - Ascend Performance Materials

Key Responsibilities

• Develop and deploy predictive models to forecast product failures and optimize maintenance schedules.
• Analyze large-scale manufacturing data to identify root causes of reliability issues and recommend process improvements.
• Collaborate with cross‑functional teams to integrate data science solutions into production workflows.
• Design experiments and statistical tests to validate reliability hypotheses and model performance.
• Present findings and actionable insights to senior stakeholders, translating technical results into business impact.

Requirements

• Advanced degree in Statistics, Engineering, or related field with strong quantitative background.
• 5+ years of experience in reliability engineering or data science within a manufacturing or industrial environment.
• Hands‑on experience with machine learning techniques (regression, classification, time‑series forecasting) and statistical modeling.
• Strong communication skills and ability to translate complex analyses into clear, actionable recommendations.