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# Data Scientist

- **Company:** AllSTEM Connections
- **Location:** Sand Lake, FL, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Business Analytics Applications, Software Code Optimization, Computer Programming, Information Engineering, Data Mining, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, Azure Machine Learning, Software Engineering, SQL Databases, Tableau (Software), Unstructured Data, Microsoft Power Automate, Build Management, Information Technology, Production Code, Data Analytics, Powerapps
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/d0c44f4c-1d4a-4e0c-82b2-6051ea6eca34

## About the Role

We are seeking an innovative, analytical, and results-driven Senior Data Scientist to formulate and apply advanced analytical approaches-including machine learning, causal and time-series forecasting, econometric methods, and mathematical optimization. In this role, you will build and deploy predictive models, analytical tools, and data-driven processes that directly improve operational effectiveness and drive incremental business value across our enterprise ecosystem.

This is a high-impact leadership and technical role for a seasoned professional who excels at solving complex real-world problems and translating intricate datasets into actionable insights. You will lead data collection, pipeline structuring, and error analysis while mentoring junior analysts, engineers, and associate data scientists. If you possess a strong foundation in advanced quantitative modeling and a passion for data-driven optimization, we want to hear from you., Education: Bachelor's and Master's Degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Decision Science, Management Science, Data Science, Data Analytics, or a closely related quantitative field.
Experience Baseline: Minimum of 3+ years of applied professional experience in analytical model design, development, and deployment (or an equivalent combination of advanced education and targeted experience).
Technical Mastery:
oComprehensive proficiency in data mining, advanced mathematics, machine learning, and statistical analysis.
oHands-on experience with machine learning platforms (e.g., AzureML), process automation tools (e.g., MS Power Automate), and application development platforms (e.g., Power Apps).
oAdvanced programming and data querying capabilities in Python, SQL, and R.
o Expertise in business intelligence and data visualization platforms (e.g., Power BI, Tableau).
Core Competencies: Demonstrated leadership and managerial experience with strong coaching capabilities; superior conceptual thinking and creative problem-solving skills; exceptional verbal and written communication abilities., Doctoral (Ph.D.) degree in Industrial Engineering, Operations Research, Mathematics, Statistics, Computer Science, Data Science, or a related field.
5+ years of experience formulating and applying advanced analytical approaches within theme parks, resorts, hospitality, retail, or entertainment operations.
Familiarity with supporting continuous 24/7/365 operational environments and high-demand business cycles.

## Description

Advanced Modeling & Predictive Analytics
Predictive Model Development: Formulate and apply advanced analytical approaches, including machine learning, causal/time-series forecasting, econometric methods, and mathematical optimization for complex business analyses.
Data Engineering & Analysis: Collect, clean, and organize large structured and unstructured datasets; identify root causes of variability, test new features, and integrate them into production code.
Model Optimization: Perform rigorous data and error analysis to continuously improve model accuracy, robustness, and performance.
Tool & Methodological R&D: Explore, evaluate, and introduce state-of-the-art analytical tools, methodologies, and technologies to elevate team capabilities.

Leadership, Visualization & Cross-Functional Collaboration
Team Leadership & Mentorship: Lead, supervise, and mentor interns, co-ops, analysts, engineers, and associate data scientists, fostering a culture of continuous improvement.
Data Visualization & Communication: Utilize business intelligence tools to design and maintain clear, compelling reporting dashboards that communicate complex quantitative findings to both technical and executive stakeholders.
Cross-Functional Partnership: Collaborate seamlessly across operational, technical, and business units to support key decision-making processes and enterprise initiatives.