Principal Data Scientist

Insight • Chandler, AZ

7d

About The Position

Insight Digital Innovation is seeking a full-time Principal Data Scientist who can work collaboratively with a diverse team of experts to solve complex business challenges using innovative thinking and modern technology. Diversity and inclusion are important to Insight's success and will enable the ideal candidate to grow in a supportive, creative environment with a competitive benefits plan. Along the way, you will get to:
Lead the design and development of advanced data science and machine learning solutions
Operations Research Modeling: Apply advanced operations research techniques to solve complex business problems, including optimization, queuing theory, and simulation modeling.
Discrete Event Simulation (DES): Design and implement DES models to analyze system performance, identify bottlenecks, and evaluate alternative scenarios in domains such as healthcare operations, logistics, and resource scheduling.
Decision Support Systems: Build data-driven decision support tools that integrate simulation outputs with predictive analytics and optimization frameworks.
Cross-Functional Collaboration: Partner with domain experts, engineers, and business stakeholders to translate operational challenges into simulation and modeling solutions.
Communicate findings and recommendations to stakeholders through data storytelling and visualization
Mentor team members and promote best practices in data science and machine learning
Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.

Requirements

• Strong communication skills with technical and non-technical stakeholders/clients, including active listening, critical thinking, presentation skills, coaching, empathy, dependability, and creativity. Experience talking to people in various industries and corporate levels including C-Levels, Engineers, Business Intelligence Analysis, Business Unit Leaders, Field workers.
• Industry experience in data science, operations research, simulation, and cloud technologies including:
• Advanced degree (PhD or MS) in Operations Research, Industrial Engineering, Applied Mathematics, or related field.
• Hands-on experience with discrete event simulation tools (e.g., SimPy, AnyLogic, Arena, FlexSim).
• Strong foundation in optimization algorithms, stochastic modeling, and systems analysis.
• Proficiency in Python and simulation libraries (e.g., SimPy, Simmer in R), with experience integrating simulation models into broader ML pipelines.
• Machine Learning frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn
• Machine Learning including predictive/prescriptive analytics with Python / PySpark
• Google Cloud Platform services including Vertex AI, BigQuery, and AI Platform
• Experience with healthcare data, clinical research protocols, and regulatory compliance
• Strong programming skills in Python and R for data analysis and model development

Responsibilities

• Lead the design and development of advanced data science and machine learning solutions
• Operations Research Modeling: Apply advanced operations research techniques to solve complex business problems, including optimization, queuing theory, and simulation modeling.
• Discrete Event Simulation (DES): Design and implement DES models to analyze system performance, identify bottlenecks, and evaluate alternative scenarios in domains such as healthcare operations, logistics, and resource scheduling.
• Decision Support Systems: Build data-driven decision support tools that integrate simulation outputs with predictive analytics and optimization frameworks.
• Cross-Functional Collaboration: Partner with domain experts, engineers, and business stakeholders to translate operational challenges into simulation and modeling solutions.
• Communicate findings and recommendations to stakeholders through data storytelling and visualization
• Mentor team members and promote best practices in data science and machine learning

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees