Remote Senior Data Scientist

Description:

• Collect, sanitize, and store large-scale energy consumption data from diverse sources to ensure its quality and relevance for models, using data pipelines and ELTs.
• Design and implement innovative features capturing complex relationships between energy consumption, external factors, and grid conditions to improve predictive model accuracy.
• Develop and train supervised and unsupervised prediction models for understanding energy consumption patterns, participating in demand response opportunities, and forecasting energy market trends.
• Continuously refine and optimize existing models for improved accuracy, interpretability, and computational efficiency.
• Implement mechanisms for real-time anomaly detection and alerting to address unusual energy consumption patterns or system malfunctions.
• Collaborate with domain experts and engineers to integrate machine learning models and insights into actionable energy management solutions.
• Stay updated with the latest advancements in machine learning, energy management, and demand response technologies to enhance product capabilities.

Requirements:

• Master's or PhD in Math, Statistics, or relevant field with a focus on machine learning, statistical analysis, and data manipulation.
• Proven experience in developing, maintaining, and deploying predictive and forecasting machine learning models.
• Strong background in data clustering algorithms.
• Proficiency in SQL, Python, DBT, and data science libraries like pandas, numpy, scikit-learn, TensorFlow/PyTorch, PySpark.
• Experience with Infrastructure-as-Code, Continuous Integration & Deployment patterns.
• Familiarity with PostgreSQL, Google Cloud Platform, and BigQuery.
• Excellent problem-solving skills and ability to think creatively for innovative solutions.
• Self-starting and independent work in a fast-paced environment, navigating ambiguity and problem structuring.
• Ability to manage multiple projects, prioritize effectively, and adapt quickly.
• Strategic insights beyond statistical significance testing.

Benefits:

• Competitive salary (£100,000 - £120,000) plus equity.
• 25 days annual leave + bank holidays.
• Private healthcare.
• Standard pension contributions.
• Annual learning & development budget.