Data Scientist

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

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

What You'll Need

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

What's On Offer

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

Apply via Haystack today!