The Nuclear Company · 2 hours ago
Senior Data Scientist
Seattle, WA
Full-time
Onsite
Senior Level
$150K/yr - $173K/yr
7+ years expThe Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. They are seeking a Senior Data Scientist to join their Nuclear OS team and build the AI/ML capabilities that will transform nuclear construction, developing predictive analytics and machine learning models to optimize project delivery.
Clean EnergyElectrical DistributionNuclear
Responsibilities
Predictive Analytics Development: Host and develop various ML models that learn from historical and real-time data to predict future outcomes or detect anomalies, including schedule slippage prediction, equipment failure forecasting, and risk assessment
AI Model Development & Deployment: Develop, train, and deploy machine learning models within the Palantir Foundry environment, managing model development, training, and inference at scale while ensuring models operate on governed, quality-controlled data
Anomaly Detection & Optimization: Introduce ML algorithms on numeric datasets to identify outliers or predict issues, applying time-series anomaly detection to identify unusual fluctuations that could indicate problems
Algorithm Optimization: Fine-tune and optimize predictive analytics algorithms to improve the accuracy of fault detection and predictive maintenance, adjusting machine learning models based on historical data to enhance prediction accuracy
AI-Driven Decision Support: Build AI capabilities that augment human decision-making with AI intelligence, helping project managers identify potential risks before they become problems and enabling real-time adaptation to prevent cost overruns
Data Analysis & Visualization: Perform comprehensive data analysis and create visualizations that communicate insights to stakeholders, enabling data-driven strategy and decision-making
Model Training & Continuous Improvement: Train models on historical data from previous construction projects and continuously improve them with incoming data from ongoing projects, scheduling retraining as new data accumulates
Cross-Project Learning: Develop fleet-wide learning capabilities where data from each project is aggregated to enable performance benchmarking and cross-project AI, creating a self-improving fleet deployment model
AI/ML Infrastructure: Build and maintain pipelines for training and running models at scale using Python ML libraries (TensorFlow/PyTorch), ensuring auditability and transparency of outputs
Simulation & What-If Analysis: Develop simulation engines and what-if analysis tools to simulate schedule adjustments or supply chain disruptions using unified data from the ontology
Collaboration & Communication: Work closely with engineering, construction, and operations teams to understand business problems, translate them into data science solutions, and communicate findings to both technical and non-technical stakeholders
Qualification
Required
7-12 years of experience in data science, machine learning, or advanced analytics
Proven track record of developing and deploying production ML models at scale
Experience with predictive analytics, anomaly detection, and optimization algorithms
Deep expertise in AI/ML systems, including supervised and unsupervised learning, time-series analysis, and anomaly detection
Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) for model development and deployment
Familiarity with machine learning frameworks and model deployment; experience with Palantir Foundry or similar data integration platforms preferred
Strong skills in data analysis, statistical modeling, and data visualization tools
Experience with MLOps, model versioning, monitoring, and continuous training pipelines
Experience working with large-scale datasets and distributed computing frameworks
Strong analytical and problem-solving skills with ability to translate business problems into data science solutions
Excellent communication skills to explain complex technical concepts to non-technical stakeholders
Ability to work independently and lead data science initiatives
Experience with A/B testing, experimentation, and statistical analysis
Commitment to model transparency, auditability, and ethical AI practices
Preferred
Master's or PhD in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field
Experience in construction, manufacturing, or other complex project-based industries
Knowledge of digital twin concepts and IoT sensor data analysis
Familiarity with natural language processing and large language models
Experience with AI-driven forecasting and optimization in regulated environments
Background in causal inference and econometric modeling
Experience with graph neural networks or knowledge graph applications
Understanding of nuclear industry operations or highly regulated industries
Publications or contributions to open-source ML projects
Benefits
Competitive compensation packages
401k with company match
Medical, dental, vision plans
Generous vacation policy, plus holidays
Company
The Nuclear Company
The Nuclear Company enables the deployment of nuclear power plants at fleet-scale by integrating government and industry partners.
51-200 employees
H1B Sponsorship
The Nuclear Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
Funding
Current Stage
Growth StageTotal Funding
$46.3MKey Investors
Eclipse
2025-05-15Series A· $46.3M
Recent News
2025-12-09
2025-10-10
Company data provided by crunchbase