We are looking for a skilled and experienced
Data Scientist to join one of our top energy clients in Princeton, NJ! The Data Scientist will develop and implement machine learning models for predictive analytics, recommendation systems, anomaly detection, and other AI-driven insights to support business users across the power & natural gas trading desks. If you're looking for an opportunity to work for a rapidly growing company in Princeton, NJ!
APPLY TODAY!
Responsibilities:
- Collect, clean, and preprocess large datasets to ensure high-quality data for quantitative analysis including AIapplications.
- Develop and implement machine learning models for predictive analytics, recommendation systems, anomalydetection, and other AI-driven insights.
- Implement solutions that improve efficiency of team activities.
- Analyze and interpret complex data structures to derive meaningful business insights.
- Collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, tointegrate AI solutions into group workflows.
- Optimize and fine-tune AI models to enhance accuracy, efficiency, and scalability.
- Stay up to date with the latest advancements in AI, machine learning, and data science technologies.
- Create data visualizations and dashboards to communicate findings to stakeholders effectively.
- Document methodologies, processes, and findings to maintain transparency and reproducibility.
Top Skills:
- Master's or Bachelor’s degree in data science, computer science, quantitative finance, statistics, economics or mathematics
- 1- 3 years’ experience in data analytics – Creating statistical models to deliver insights to business stakeholders
- Experience creating risk models, pricing models, hedging models, trading models, or similar forecasting models
- 1-3 years’ experience in SQL Scripting skills
- 1-3 years’ experience in quantitative programming in either Python or R
- Experience creating data visualization to deliver insights to stakeholders using Tableau, Power BI, or similar tools
Nice to Have:
- Experience with Natural Language Processing (NLP) or Computer Vision
- Exposure to deep learning techniques and neural networks
- Understanding of MLOps principles and deployment of AI models in production environments
What’s in it for you?
- Competitive compensation package
- Full Benefits; Medical, Vision, Dental, and more!
- Opportunity to get in with an industry leading organization
- Close-knit and team-oriented culture
Why IDR?
- 27+ Years of Proven Industry Experience in 4 major markets
- Medical, Dental, Vision, and Life Insurance
- ClearlyRated’s Best of Staffing® Client and Talent Award winner 10 years in a row
