Data Scientist

About the role

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.

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
• Possess strong communication skills to 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

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
• 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

Qualifications

• Ability to work independently and as part of a team
• Strong problem-solving and analytical skills
• Excellent written and verbal communication skills
• Experience with data visualization tools such as Tableau or Power BI

Skills

• Python
• R
• SQL
• Data modeling
• Statistical modeling
• Time series analysis
• Forecasting

Benefits

• 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

Pay

Competitive compensation package with annual bonus or long-term incentive opportunities

Schedule

Full-time position