Principal Data Scientist

DescriptionKforce has a client that is seeking a Principal Data Scientist in Juno Beach, FL.Summary:This position will engage in end-to-end model development-from conception through production deployment, including advanced feature engineering, weather data integration via APIs, model optimization, and performance monitoring. The ideal candidate will design production-ready forecasting solutions integrated with internal systems, AWS cloud infrastructure, implementing robust error handling, alerting mechanisms, and recovery procedures.Key Expectations:* Understands business priorities and takes ownership of the complete model lifecycle from development to production deployment* Demonstrates strong communication and collaboration skills working with trading, operations, and engineering teams* Works effectively within Agile frameworks and actively participates in scrum ceremonies* Deliver cost-effective, high-quality forecasting solutions that meet operational deadlines and accuracy standardsJob Duties & Responsibilities:Model Development & Production:* Lead end-to-end forecasting model development for Load, Solar, and Wind from conception through production deployment* Build automated retraining and evaluation frameworks with monitoring dashboardsData & Infrastructure:* Develop data connectors for weather APIs and data warehouse systems* Design scalable pipelines for real-time and batch forecasting operations* Create interactive dashboards (Streamlit) and present insights to stakeholdersRequirements* API Integration: Experience consuming and integrating weather APIs and external data sources into forecasting pipelines, with a strong background in data engineering* Dashboard Development: Experience building interactive dashboards using Streamlit, Plotly, or similar frameworks for stakeholder communication* Production Deployment: Demonstrated experience taking models from research/development through production deployment with proper versioning, monitoring, and maintenance* Cloud & Infrastructure: Working knowledge of AWS services (EC2, S3, Lambda, SageMaker) and Infrastructure-as-Code practices* Python Expertise: Advanced proficiency in Python with extensive experience in data science libraries (pandas, numpy, scikit-learn, statsmodels)* Time-Series Forecasting: Proven track record developing and deploying production forecasting models (ARIMA, SARIMAX, gradient boosting methods)* Database Management: Proficiency with SQL databases and experience with large-scale data queries and optimizationPreferred Skills & Experience:* Advanced feature engineering, uncertainty quantification, and probabilistic forecasting methods* Energy markets and renewable generation forecasting domain expertise* Agile project management (Jira, Confluence)Technical Competencies:* Feature engineering with weather variables and domain-specific signals* Model evaluation metrics (MAE, RMSE, MAPE)* Automated data pipelines and version control (Git)The successful candidate should possess deep expertise in time-series forecasting, machine learning operations, and building scalable data pipelines. They must demonstrate the ability to transform complex datasets into actionable forecasts that drive real-time operational decisions in the energy sector.Job TypeContractCompensation90 - $94