Data Scientist, Business Analytics and Industrial Engineering

SRI Resources; Orlando (FL); On-site; USD 83,000 - 165,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k) with company match

Short-term disability

Life insurance with AD&D

Job summary

SRI Resources is seeking a Data Scientist for a contract role in Orlando, FL to build production-grade models and analytics that drive business value. The role emphasizes scalable forecasting, ML, and data pipelines working with cross-functional teams.

You will lead analytics initiatives, mentor junior staff, and continuously improve modeling approaches while ensuring reports and dashboards clearly communicate insights to stakeholders.

Qualifications

• Must have proficiency with data mining, mathematics, machine learning, and statistical analysis.
• Experience with machine learning platforms (e.g., AzureML), process automation platforms (e.g., Power Automate), application development platforms (Power Apps), data querying and scripting tools (SQL, Python), BI/data viz tools (Power BI, Tableau), and statistical modeling software (R).
• Strong PC skills including spreadsheets, databases, and presentation graphics.
• Demonstrated leadership ability and/or previous managerial experience.
• Strong coaching/mentoring skills and Leadership in continuous improvement.
• Strong critical thinking and creative problem solving skills.
• Demonstrated ability to communicate complex findings clearly to both technical and non-technical stakeholders.
• Ability to work collaboratively in a fast-paced environment and adapt to change.
• Understanding of UDX heritage and commitment to excellence.
• Willingness to support a 24/7/365 operation, including high-demand periods.

Responsibilities

• Formulate and apply advanced analytical approaches for complex analyses, predictions, and problem-solving; perform data and error analysis to improve models.
• Assist in collecting, cleaning, and organizing data; analyze large datasets to identify trends and insights.
• Use BI tools to create clear reporting and visualizations for technical and non-technical stakeholders.
• Explore new analytical tools, methodologies, and technology for the team.
• Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists.
• Participate in Environmental, Health & Safety responsibilities per policy and training.

Skills

Forecasting at scale

Python development

AI-enabled problem solving

Leadership

Education

Bachelor's degree in related field

Master's degree

Doctoral degree preferred

Tools

AzureML

Power Automate

Power Apps

SQL

Python

Power BI

Tableau

R

Job description

SRI Resources has an immediate, contract job opportunity for a Data Scientist, Business Analytics and Industrial Engineering with a major corporation in Orlando, FL. Onsite 4 days per week.

Important to Have:

• Operational forecasting experience at scale
• Production-grade Python fluency
• High-judgment, AI-enabled problem solving
• Success looks like shipping forecasts that operators trust, scaling venue coverage with less friction over time, and improving the system—not just individual models.

JOB SUMMARY

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.

ESSENTIAL DUTIES AND RESPONSIBILITIES

• Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, to name a few, for complex analyses, predictions and problem-solving. Perform data and error analysis to improve models. 45%
• 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. 20%
• Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders. 15%
• Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team. 10%
• Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists. 10%
• Understand and actively participate in Environmental, Health & Safety responsibilities by following established policy, procedures, training and team member involvement activities.

Additional Information

Carries out supervisory responsibilities in accordance with the organization's policies and applicable laws.

QUALIFICATIONS

• 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
• Demonstrated leadership ability and/or previous managerial experience
• 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.)

Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

Consistent attendance is a job requirement.

Benefits

• Medical, dental, and vision coverage
• 401(k) with company match
• Short-term disability
• Life insurance with AD&D

EDUCATION

Bachelor's degree 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 field of study

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 is preferred.

EXPERIENCE

5+ of experience formulating and applying advanced analytical approaches in theme parks, resorts, retail/dining/entertainment venues, hospitality industry, etc is preferred.

3+ years of applied experience in analytical model design, development and deployment; or a combination of education and equivalent experience is required.

ADDITIONAL INFORMATION

Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences to support key decisions in order to drive incremental business value.

The ideal candidate should not only have a strong foundation in advanced analytical modeling, programming, and data analysis, but should also have a passion for solving real-world problems using data-driven insights, along with the ability to translate and communicate complex data into actionable insights. The candidate will play a crucial role in driving data-driven decision-making processes and contributing to the overall success of the organization. In addition, the person in this role will be responsible for supporting and guiding Analysts, Engineers and Associate Data Scientists on the use of advanced model development methodologies.