Data Scientist

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 timeseries 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 crossfunctional teams to understand business needs and provide tailored datadriven recommendations.

Stay updated with the latest advancements in neural networks timeseries 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 timeseries analysis and forecasting techniques.

Minimum Qualifications:

Bachelors 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.