Data Scientist

Job Title: Data Scientist - Predictive Analytics

Location: Columbus, Ohio Metropolitan Area

Type: Full Time

Role Overview

This position centers on building and refining predictive models to enhance demand forecasting, including contact center and volume planning. You will collaborate with cross-functional teams to turn complex datasets into actionable insights that support workforce planning and overall business performance.

Key Responsibilities

• Analyze large and complex datasets to improve forecasting precision and operational planning
• Design, develop, and optimize statistical and predictive models for demand and contact center forecasting
• Apply time-series analysis, forecasting techniques, and scenario modeling to anticipate future demand trends
• Partner with stakeholders across operations, workforce management, and analytics to identify improvement opportunities
• Translate analytical findings into clear insights using data visualization and storytelling techniques
• Present results and recommendations to both technical and non-technical audiences
• Support workforce planning efforts by improving staffing models and operational efficiency

Qualifications

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field (or equivalent experience)
• Minimum of 4 years of experience in advanced analytics and data science roles

Core Skills & Experience

• Strong expertise in forecasting and statistical modeling, including time-series techniques
• Proficiency in Python (required) and experience working with R
• Advanced SQL skills and experience handling large datasets
• Solid foundation in applied mathematics, statistics, and data modeling
• Hands-on experience with cloud data platforms such as Databricks, Snowflake, or similar
• Ability to identify trends, analyze transactional data, and troubleshoot analytical challenges
• Experience creating visualizations and effectively communicating insights
• Comfortable working independently while collaborating with cross-functional teams

Preferred Qualifications

• Experience in contact center analytics, workforce planning, or operational forecasting
• Background in industries such as healthcare, pharma, biopharma, or insurance
• Exposure to machine learning techniques such as regression, segmentation, NLP, or decision trees
• Familiarity with cloud environments (e.g., Azure), automation tools, and model deployment practices
• Strong communication and stakeholder management skills
• Curious mindset with the ability to navigate ambiguity and continuously learn