Data Scientist - Predictive Analytics

Key Responsibilities

• Analyze large, complex datasets to improve forecasting accuracy and operational planning
• Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting
• Apply time-series forecasting, predictive modeling, and scenario planning techniques to anticipate demand
• Partner with stakeholders to identify opportunities to improve productivity, performance, and customer experience
• Create and present clear data visualizations and insights for technical and non-technical audiences
• Communicate forecasting results and recommendations to internal teams and occasional external partners
• Support optimization of staffing and workforce planning models with guidance from senior team members

Minimum Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or equivalent experience
• 4+ years of experience applying advanced analytics to solve business problems

Critical Skills & Experience

• Strong experience (4+ years) with forecasting and statistical modeling, including time-series analysis
• Proficiency (4+ years) in Python (required) and experience with R
• Advanced (4+ years) SQL and experience working with large datasets
• Hands-on experience (4+ years) with data modeling, statistics, and applied mathematics
• 4+ years' Experience using Databricks, Snowflake, or similar cloud-based data platforms
• Experience creating analytics-driven visualizations and presenting insights clearly
• Comfortable working with moderate autonomy in a collaborative, cross-functional environment

Preferred / Nice-to-Have Experience

• Experience with contact center analytics, workforce management, or operational forecasting
• Background in healthcare, pharmaceutical, biopharma, or insurance environments
• Exposure to advanced techniques such as machine learning, regression, segmentation, NLP, or decision trees
• Familiarity with Azure, automation, version control, or model deployment workflows
• Strong communication, presentation, and stakeholder-management skills
• Intellectual curiosity, comfort with ambiguity, and desire to continuously learn

Additional Information

• Must be authorized to work in the U.S. (no sponsorship available)
• Standard office/remote work environment
• Pay range: $108,800 - $181,300