Data Scientist

Location: Orlando, FL (Onsite/Hybrid) Pay Rate: $45.00–$51.50/hour Job Summary The Data Scientist will formulate and apply advanced analytical approaches including statistical modeling, forecasting, machine learning, mathematical optimization, and decision analysis to develop analytical models, tools, and processes that improve operational effectiveness and drive incremental business value. Responsibilities Advanced Analytics & Predictive Modeling — 45% • Apply advanced analytical methodologies including causal modeling, time series forecasting, econometrics, machine learning, and mathematical optimization for complex analysis and predictive problem-solving. • Conduct data validation and error analysis to improve model performance and reliability. • Develop analytical solutions that support strategic business initiatives and operational improvements. Data Collection & Analysis — 20% • Collect, clean, organize, and analyze structured and unstructured datasets. • Identify trends, patterns, insights, and drivers of variability within large datasets. • Test new features, enhance analytical models, and integrate updates into existing code and workflows. Reporting & Data Visualization — 15% • Create and maintain reports, dashboards, and visualizations using business intelligence tools. • Present complex analytical findings clearly to both technical and non-technical stakeholders. Innovation & Emerging Technologies — 10% • Research and evaluate emerging analytical technologies, tools, and methodologies that can enhance team capabilities and business performance. Leadership & Team Development — 10% • Lead and manage interns, co-ops, Analysts, Engineers, and Associate Data Scientists. • Provide mentorship, coaching, and support for continuous improvement initiatives. Qualifications • • Data mining • Machine learning • Statistical analysis • Mathematics • Experience with: • AzureML or similar machine learning platforms • Microsoft Power Automate or similar process automation tools • Power Apps or similar application development platforms • SQL, Python, and other programming/scripting languages • Power BI, Tableau, and other business intelligence/data visualization tools • R and other statistical modeling software Professional Skills • Strong PC skills including spreadsheets, databases, and presentation software. • Demonstrated leadership and/or previous management experience. • Strong coaching, mentoring, and continuous improvement leadership capabilities. • Excellent critical thinking and creative problem-solving skills. • Ability to solve complex problems using conceptual and analytical thinking. • Strong written and verbal communication skills. • Ability to explain complex analytical findings to technical and non-technical audiences. • Ability to collaborate effectively in a fast-paced and evolving environment. Education • Bachelor’s and Master’s degree in one of the following fields: