Senior Data Scientist, Forecasting

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Requirements:

• Master’s or Ph.D. in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field.
• 5+ years of experience in data science, with at least 3 years focused on forecasting or time series analysis.
• Strong background in building and deploying machine learning models.
• Proficiency in SQL, Python or R, with experience using relevant libraries.
• Solid understanding of time series analysis techniques like ARIMA and machine learning methods like LSTM.
• Strong communication skills to present technical findings to non-technical stakeholders.
• Familiarity with financial metrics and KPIs is a bonus.

Responsibilities:

• Develop and refine predictive models for financial forecasting.
• Use time series analysis techniques to build models that predict financial metrics.
• Integrate macroeconomic data to enhance forecasting accuracy.
• Analyze historical financial data to identify trends and anomalies.
• Collaborate with business leaders and create visualizations of insights.
• Continuously improve forecasting models and scale them for deployment.
• Mentor junior data scientists and contribute to research and development.