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Software Resources has an immediate, contract job opportunity for a Data Scientist, Business Analytics and Industrial Engineering with a major corporation in Orlando, FL. Formulate and apply advanced analytical approaches, such as statistical modeling, forecasting, machine learning, mathematical optimization, and decision analysis, to name a few, in the production of analytical models, tools, and processes to improve the effectiveness and relevance of our efforts to drive incremental business value for the company.
Job Responsibility:
Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions
Requirements:
Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions
Demonstrated understanding of the Universal Destinations & Experiences (UDX) heritage and a commitment to change and excellence
Willingness to support a 24/7/365 Universal Destinations & Experiences (UDX) operation, which includes periods of high demand (weekends, holidays, etc.)
Senior-level proficiency in operational forecasting
Production-grade Python fluency
High-judgment, AI-enabled problem solving
Nice to have:
Doctoral degree in industrial engineering, operations research, mathematics, statistics, computer science, decision science, management science, data science, data analytics, or a closely related field of study
5+ of experience formulating and applying advanced analytical approaches in theme parks, resorts, retail/dining/entertainment venues, hospitality industry, etc