Senior Data Scientist

The 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. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally.

About The Role

We're seeking a Senior Data Scientist to join our Nuclear OS team and build the AI/ML capabilities that will transform nuclear construction. This senior-level position offers the unique opportunity to develop predictive analytics and machine learning models that learn from historical and real-time data to predict future outcomes, detect anomalies, and optimize nuclear project delivery. You'll work with cutting-edge AI/ML technologies and data integration platforms, deploying models that directly impact the efficiency, safety, and cost-effectiveness of fleet-scale nuclear deployment.

Key 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

Required Qualifications

Experience

• 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

Technical Skills

• Machine Learning: Deep expertise in AI/ML systems, including supervised and unsupervised learning, time-series analysis, and anomaly detection
• Programming: Advanced proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn) for model development and deployment
• Data Platforms: Familiarity with machine learning frameworks and model deployment; experience with Palantir Foundry or similar data integration platforms preferred
• Analytics & Visualization: Strong skills in data analysis, statistical modeling, and data visualization tools
• Model Operations: Experience with MLOps, model versioning, monitoring, and continuous training pipelines
• Big Data: Experience working with large-scale datasets and distributed computing frameworks

Professional Competencies

• 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 Qualifications

• 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

Estimated Starting Salary Range
The estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a bi-weekly basis. The actual salary offered may vary based on relevant factors as determined in the Company’s discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. 

EEO Statement
The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.