Data Scientist leading the NLP Squad at Telefónica Tech. Driving AI solutions and data analysis while ensuring best practices in a collaborative team environment.
RI
Hybrid Applied Data Scientist, Operations Analytics
Posted 3 weeks ago
About the role
- Applied Data Scientist focused on operational analytics at Rowan Digital Infrastructure. Developing models and metrics to enhance reliability and decision making for data center solutions.
Responsibilities
- Design and develop operational metrics and quantitative models that improve reliability, maintenance strategy effectiveness, and risk mitigation
- Apply statistical analysis, probability modeling, and optimization techniques to operational datasets to generate predictive indicators
- Quantify and model human error trends and operational performance variability using structured analytical frameworks
- Validate model assumptions, evaluate performance, document methodologies, and ensure alignment with analytics governance standards
- Translate analytical outputs into practical operational recommendations and present findings to both technical and non technical stakeholders
- Partner with Operations, Reliability, Engineering, and IT teams to align modeling initiatives with operational realities
- Prepare and analyze data from operational systems and structured databases using SQL and analytics tools
- Continuously refine metrics, models, and analytical methodologies to improve reliability outcomes
Requirements
- Bachelor’s or Master’s degree in Mathematics, Statistics, Data Science, Operations Research, Engineering, or a related quantitative field
- Three or more years of experience in applied data science, quantitative analytics, operations research, or statistical modeling
- Strong foundation in statistics, probability, and quantitative modeling
- Experience developing operational metrics and predictive or optimization models in real world environments
- Proficiency with SQL and experience using analytics tools such as Python, R, Tableau, or similar platforms
- Ability to work with complex operational datasets and clearly document and communicate analytical results.
Benefits
- Hybrid working environment
- Team building and educational opportunities
- Generous benefits package including robust health benefits and a 401(k) company contribution
- Unlimited PTO
- Competitive compensation and bonus plan
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