Data Scientist
Job Description
Use analytics and forecasting to turn complex data into decision-ready insights for business strategy and performance.
Responsibilities
- Develop and maintain forecasting models for key business KPIs
- Run scenario and sensitivity analysis to evaluate risk, opportunities, and forecast drivers
- Convert complex datasets into clear, executive-ready presentations
- Perform analytics and modeling using Python, R, Power BI, and Excel
- Collaborate with cross-functional partners to refine forecast inputs and outputs
- Find opportunities to automate recurring work and improve data processes
- Document forecasting methodologies and support reporting accuracy
Requirements
- 3+ years of experience in analytics in a relevant role
- Bachelor’s degree in a quantitative field (Master’s preferred)
- Strong background in forecasting and predictive modeling
- Proficiency with Python, R, and SQL for data analysis
- Experience working with financial data and KPI reporting
- Ability to present, explain, and defend insights with senior leadership
- Experience using AI tools to support process automation
Tools & Technologies
- Python
- R
- Power BI
- Excel
- SQL
- AI tools
Location
- Birmingham, AL (onsite)
Compensation
- $90,000 - $110,000 base salary per year
- Potential 10% bonus
Benefits
- High-visibility role with direct exposure to senior leadership
- Opportunity to influence forecasting and strategic decision-making
- Collaborative, cross-functional environment across finance and analytics teams
- Emphasis on innovation, automation, and process improvement
- Performance-based bonus structure
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