Reliability Data Scientist III

The Reliability Data Scientist III is a senior technical expert responsible for leading advanced analytics initiatives to improve product reliability. This role designs and implements complex predictive models, mentors junior data scientists, and partners with engineering leadership to drive strategic reliability improvements across multiple product lines.

This position supports Rheem North America and will be based in Roswell, GA or Montgomery, AL. 

• Collect and organize engineering data from multiple sources for analysis.
• Perform data cleaning, transformation, and preparation for modeling.
• Conduct basic exploratory data analysis to identify trends and anomalies.
• Assist in building and testing predictive models and machine learning algorithms.
• Support development of dashboards and visualizations for reliability reporting.
• Collaborate with engineers and cross-functional teams to understand data requirements.
• Collect, prepare, and transform engineering data for analysis.
• Perform exploratory and predictive analytics; identify patterns and trends.
• Design and build scalable machine learning models and statistical models.
• Develop engineering dashboards and support production deployment.
• Provide data-driven recommendations and present complex concepts clearly.
• Analyze structured and unstructured data from distributed sources.
• Conduct unit and integration testing for data solutions.
• Lead development of advanced statistical and machine learning models for reliability prediction.
• Oversee data strategy, including architecture for large-scale engineering data integration.
• Perform complex analytics on structured and unstructured data to identify systemic reliability risks.
• Translate insights into actionable strategies and influence product design decisions.
• Develop and maintain reliability dashboards and enterprise-level reporting systems.
• Mentor and guide Level I and II data scientists; provide technical leadership.
• Ensure compliance with industry standards and best practices in data science and reliability engineering.
• Analyze structured and unstructured data to identify reliability trends.
• Design and implement predictive models and machine learning algorithms for forecasting.
• Develop statistical models to enhance performance and flexibility.
• Collaborate with engineering and product teams to define reliability KPIs and 
• Drive innovation in reliability analytics tools and methodologies.

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or Mechanical Engineering. 
• 5 years of professional experience in data science, advanced analytics, or reliability-focused projects.
• Experience with data analytics, statistics, or engineering data analysis.
• Experience with working with structured and unstructured data.
• Experience with Python or R for scripting and analysis.
• Experience with Basic SQL for data extraction.
• Experience with Data visualization tools (Power BI, Tableau).
• Experience with statistical methods (distributions, regression, A/B testing, Bayesian inference).
• Experience with database systems (SQL, MongoDB, AWS).
• Experience with Artificial Intelligence (Agentic AI), machine learning techniques (Logistic Regression, Decision Trees, Random Forests, SVMs, Clustering, Time Series).
• Experience with Visualization tools (Power BI, Tableau).
• Proven track record of deploying predictive models and machine learning solutions at scale.
• Experience in leading projects and mentoring teams.
• Experience in performing complex statistical analysis and data mining on large, distributed datasets.
• Experience in using big data platforms, advanced ML techniques (including Neural Networks and Deep Learning), and visualization tools for executive reporting.
• Experience with collaborating with engineering and product teams to influence design and reliability improvements.
• Availability for 10% travel to collaborate with suppliers and manufacturing sites in alignment with strategic business needs.

• Master’s Degree in Computer Science or Computer Engineering. 
• PhD in Computer Science or Computer Engineering.
• Experience with cloud-based analytics platforms and scalable data architectures.

As a leader at Rheem, how you achieve results is as important as the results you achieve. While LEADING OTHERS, you will be expected to demonstrate the following competencies and behaviors:

• Aligning Performance for Success

• Applying Business Knowledge

• Building Talent

• Building Trusting Relationships

• Communicating with Impact

• Customer-Orientation

• Delegating Tasks

• Executing/Leading the Team

• Facilitating Change

• Fostering Relationships/Emotional Intelligence

• Influencing

• Problem Solving & Decision Making

• Supporting Innovation

Equivalent combination of education, experience, and skills may supplement above minimum job requirements.

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