Data Scientist

Jobtailor; Orlando (FL); On-site; USD 75,000 - 110,000; Full time

Job summary

Jobtailor seeks a data scientist to translate business challenges into analytical approaches and deliver statistical models for forecasting and staffing optimization. You will transform raw data into structured datasets and develop predictive analytics to support operational planning.

You will build time series models and create visualizations in BI tools to communicate insights to stakeholders, while integrating outputs into business workflows and partnering with cross-functional teams.

Qualifications

• 1-3 years of experience in a data science, machine learning, or advanced analytics role.
• Experience applying statistical modeling and machine learning techniques to real-world business problems.
• Strong programming skills in Python and SQL.

Responsibilities

• Translate business challenges into analytical approaches and technical solutions
• Develop statistical and machine learning models supporting demand forecasting, staffing optimization, and operational planning
• Build time series models and predictive analytics solutions for decision-making
• Prepare, clean, and transform raw data into structured datasets for modeling
• Identify and incorporate new data sources to improve model performance
• Translate outputs into operational insights and measurable KPIs
• Develop visualizations and reporting tools to communicate results to stakeholders
• Integrate analytical outputs into workflows and decision-making processes
• Partner with cross-functional teams to prioritize and execute data initiatives
• Build relationships with data and technology partners to enhance analytics

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering

Tools

Python

SQL

Power BI

Tableau

Job description

• Translate business challenges into analytical approaches and technical solutions
• Develop statistical and machine learning models supporting initiatives such as demand forecasting, staffing optimization, and operational planning
• Build time series models and predictive analytics solutions to support operational and commercial decision-making
• Prepare, clean, and transform raw data into structured datasets suitable for statistical modeling and analysis
• Identify and incorporate new data sources and variables to improve model performance and predictive accuracy
• Translate model outputs into operational insights and measurable business KPIs
• Develop visualizations and reporting tools that communicate model results and insights to business stakeholders
• Integrate analytical outputs into operational workflows and decision-making processes
• Partner with cross-functional teams across operations, technology, and analytics to prioritize and execute data initiatives
• Build relationships with internal and external data and technology partners to enhance analytics capabilities

Requirements

• 1-3 years of experience in a data science, machine learning, or advanced analytics role
• Undergraduate degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or another quantitative field
• Experience applying statistical modeling and machine learning techniques to real-world business problems
• Strong programming skills in Python (e.g., Pandas, scikit-learn) and SQL
• Experience with time series forecasting and machine learning models
• Familiarity with data visualization and business intelligence platforms such as Power BI or Tableau
• Experience applying diverse analytical methodologies to solve technical and operational challenges
• Ability to communicate complex analytical concepts clearly to both technical and non-technical stakeholders
• Strong collaboration skills with the ability to work both independently and within cross-functional teams