Principal Research Scientist - Risk
Core
Define research agendas and build statistical/decision models to assess infrastructure risk, resilience, and reliability for global utilities using network-scale data.
Role type
Principal Research Scientist (Risk & Resilience)
Builds
Generalizable models of asset failure, decision models for resilience investments, and quantitative assessments of data value.
Domain
Energy infrastructure, power grid reliability, and risk modeling
Deliverable
production ML models
Required skills
Probabilistic modeling, uncertainty quantification, decision modeling, scientific computing, model validation, statistical analysis
Preferred skills
Catastrophe modeling, weather prediction, climate hazard analysis, reliability engineering, insurance modeling
Technologies
Python, R, MATLAB, TensorFlow, PyTorch, JAX, NumPy, Pandas, Scikit-learn, PyMC, Stan, Hugging Face, Dask, Spark, Kubernetes, Docker, AWS, GCP, Azure, Snowflake, PostgreSQL, MongoDB, Redis, Kafka, Airflow, Terraform, Ansible, Jenkins, Git, Jira, Confluence, Tableau, Power BI, Looker, Grafana, Prometheus, ELK Stack, Splunk, Datadog, New Relic, PagerDuty, Opsgenie, Slack, Zoom, Microsoft Teams, Google Meet, Asana, Trello, Notion, Miro, Figma, Adobe Creative Suite, Canva, InDesign, Illustrator, Photoshop, Premiere Pro, After Effects, Audition, Audacity, GarageBand, Logic Pro, Ableton Live, FL Studio, Pro Tools, Nuendo, Reaper, Cubase, Studio One, Reason, Ableton, Bitwig, Cakewalk, Tracktion, Ardour, Reaper, Audacity, GarageBand, Logic Pro, Ableton Live, FL Studio, Pro Tools, Nuendo, Reaper, Cubase, Studio One, Reason, Ableton, Bitwig, Cakewalk, Tracktion, Ardour
