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We are working with a Fortune 10 healthcare company that delivers critical insights, products, and services to make quality care more accessible and affordable globally. This organization is committed to the health and well-being of its employees and the communities it serves, fostering a culture of growth, impact, and innovation.
The Role
The Role
- 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
- 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
- Strong experience (4+ years) with forecasting and statistical modeling, including time series analysis
- Proficiency (4+ years) in Python 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
- Join an impact-driven Fortune 10 company in the healthcare sector
- Opportunity to develop and enhance statistical and predictive models
- Collaborative work environment with cross-functional partners
- Competitive compensation package with annual bonus or long-term incentive opportunities
Key Skills
Ranked by relevance
python
sql
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- Posted
- Jun 17, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Columbus
- Company
- Haystack
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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