Data Scientist

Data Scientist - Predictive Analytics

📍 Location: Columbus, OH, United States

🏢 Industry: Healthcare & Hospital

💼 Work Setting: Remote (Continental U.S.) with occasional travel.

Are you passionate about predictive analytics, forecasting, and transforming data into actionable business insights?

We are seeking a skilled Data Scientist to support enterprise forecasting and demand planning initiatives, with a strong focus on volume forecasting, contact center forecasting, workforce planning, and operational optimization. In this role, you will develop statistical and predictive models that improve forecasting accuracy, enhance resource planning, and enable data-driven decision-making across the organization.

The ideal candidate combines strong expertise in time-series forecasting, statistical modeling, Python, SQL, and cloud-based analytics platforms with the ability to communicate complex analytical findings to both technical and business audiences.

Key Responsibilities

Forecasting & Predictive Modeling

• Develop, maintain, and optimize forecasting models for operational demand and contact center volume planning.
• Apply advanced statistical techniques and time-series forecasting methodologies to predict future demand patterns.
• Build predictive models that support workforce planning, staffing optimization, and operational decision-making.
• Conduct scenario analysis and sensitivity testing to evaluate business impacts and planning assumptions.
• Continuously monitor model performance and implement improvements to enhance forecast accuracy.

Data Science & Advanced Analytics

• Analyze large, complex datasets to identify trends, patterns, and opportunities for operational improvement.
• Utilize statistical analysis, machine learning techniques, and predictive analytics to solve business challenges.
• Explore and validate new forecasting methodologies and analytical approaches.
• Develop scalable analytical solutions that support business growth and efficiency.

Workforce Planning & Operational Optimization

• Support workforce management initiatives through accurate forecasting and resource planning insights.
• Partner with operations teams to align staffing requirements with projected demand.
• Identify opportunities to improve productivity, service levels, and customer experience.
• Contribute to planning models that balance operational efficiency and customer satisfaction.

Data Visualization & Business Insights

• Create dashboards, visualizations, and reports that clearly communicate forecasting results and recommendations.
• Present analytical findings to technical and non-technical stakeholders.
• Translate complex data into actionable business insights.
• Support leadership teams with performance analysis and decision-support reporting.

Stakeholder Collaboration

• Collaborate with:
• Operations Teams
• Workforce Management
• Business Leaders
• Analytics Teams
• Cross-Functional Stakeholders
• Gather business requirements and translate them into analytical solutions.
• Communicate forecasting assumptions, risks, and recommendations effectively.
• Support business planning and operational strategy discussions.

Data Management & Quality

• Work with large-scale datasets across cloud-based platforms and enterprise data environments.
• Ensure data quality, consistency, and reliability in forecasting models.
• Validate data sources and analytical outputs.
• Troubleshoot data and modeling issues to maintain analytical integrity.

Continuous Improvement & Innovation

• Stay current with advances in:
• Forecasting Techniques
• Machine Learning
• Workforce Analytics
• Data Science Methodologies
• Recommend innovative approaches to improve planning processes and forecasting outcomes.
• Support automation and operational analytics initiatives.

Required Qualifications

Education

• Bachelor's Degree in:
• Data Science
• Statistics
• Mathematics
• Computer Science
• Engineering
• Related Quantitative Discipline

Experience

• 4+ years of experience applying advanced analytics to solve business problems.
• 4+ years of forecasting and statistical modeling experience.
• Experience developing and maintaining time-series forecasting solutions.
• Experience working with large, complex datasets.
• Proven ability to deliver actionable business insights from data.

Technical Skills

Programming & Analytics

• Python (Required)
• R
• SQL (Advanced)

Data Science & Statistics

• Time-Series Forecasting
• Predictive Modeling
• Statistical Analysis
• Applied Mathematics
• Regression Analysis
• Scenario Modeling

Data Platforms

• Databricks
• Snowflake
• Cloud-Based Analytics Platforms

Visualization & Reporting

• Data Visualization Tools
• Dashboard Development
• Business Intelligence Reporting

Preferred Qualifications

• Experience with:
• Contact Center Analytics
• Workforce Management
• Demand Planning
• Operational Forecasting
• Industry experience in:
• Healthcare
• Biopharma
• Pharmaceutical
• Insurance
• Exposure to:
• Machine Learning
• NLP
• Decision Trees
• Customer Segmentation
• Advanced Predictive Analytics
• Familiarity with:
• Azure
• Automation Workflows
• Model Deployment
• Version Control Systems
• Strong stakeholder management and presentation skills.

Core Competencies

• Forecasting & Demand Planning
• Time-Series Analysis
• Predictive Analytics
• Data Science
• Python Programming
• SQL Development
• Statistical Modeling
• Workforce Planning
• Contact Center Analytics
• Data Visualization
• Business Intelligence
• Operational Analytics
• Problem Solving
• Stakeholder Communication
• Decision Support