Job Opening: Data Scientist Location: Dallas, TX - REMOTE
Role Overview: We are seeking a Data Scientist with deep expertise in statistical and mathematical analysis to join our forecasting project. The ideal candidate will have experience with both neural networks and classical statistical methods used in time-series analysis and modeling. This role is perfect for individuals passionate about applying advanced concepts to solve forecasting challenges.
Key Responsibilities:
Develop and refine forecasting models using both neural networks and classical statistical methods.
Analyze large datasets to identify trends, patterns, and actionable insights relevant to forecasting problems.
Collaborate with cross-functional teams to understand business needs and provide tailored, data-driven recommendations.
Stay updated with the latest advancements in neural networks, time-series analysis, and their applications in forecasting.
Preferred Qualifications:
Advanced degree in Statistics, Mathematics, or a related field, with a focus on AI.
Strong foundation in statistical analysis and mathematical modeling
Proven experience developing forecasting models using neural networks and classical statistical methods.
Proficiency in data analysis tools and languages, such as Python, R, or SQL.
Familiarity with a range of time-series analysis and forecasting techniques.
Minimum Qualifications:
Bachelor's degree in a relevant field with significant coursework in statistics or mathematics.
Relevant experience in data analysis or a related field, focusing on statistical analysis, mathematical modeling, and forecasting using both neural networks and classical statistical methods.