Senior Data Scientist
Core
Apply machine learning and data mining to predict weather impacts on business operations, such as solar energy output and retail demand.
Role type
Senior IC data scientist (forecasting & predictive modeling)
Builds
Proprietary weather forecasts and decision support tools for businesses in renewable energy, utilities, insurance, and retail.
Domain
Weather analytics, renewable energy, and business forecasting
Deliverable
production ML models
Required skills
Time-series analysis, Machine learning, Statistical post-process correction, Non-parametric regression, Bayesian inference, Predictive modeling, Systems analysis, Scientific computing (R, MATLAB, Octave)
Preferred skills
Neural Networks, SVM, Random Forest, Ensemble learning, Probabilistic forecasting, Non-linear optimization, C++, Java, Python
Responsibilities
Partner with business and project teams to achieve milestones, Research and implement statistical correction techniques, Develop documentation and visualizations for solutions, Conduct systems analysis to recommend operational changes, Estimate project effort and impact, Study new scientific methodologies, Provide feedback on product requirements
Seniority
Senior, hands-on IC