Keely DeWit

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 for a rapidly growing company! If you're looking for an opportunity to work for 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 degree in data science, computer science, quantitative finance, statistics, or mathematics
• 3+ years of work experience in data analysis, machine learning, and AI applications
• High level of proficiency in SQL and quantitative programming (Python, R, MATLAB). Experienced in dealingwith large data sets.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-Learn.
• Strong knowledge of data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.

Nice to Have:

• Experience with Natural Language Processing (NLP) or Computer Vision.
• Knowledge of big data technologies such as Spark, Hadoop, or Databricks.
• 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