Senior Data Scientist I (Finance)

• Design, develop, and implement statistical models and ML algorithms to solve finance and commercial problems (e.g., sales/cost forecasting, margin optimization, anomaly detection).
• Conduct in-depth exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from large financial and transactional datasets.
• Clean, transform, and validate data from Oracle Fusion and other sources to ensure data quality and integrity for modeling.
• Build and maintain robust data pipelines and features for model training and inference.
• Evaluate model performance using appropriate metrics, perform rigorous A/B testing, and continuously optimize models for production.
• Collaborate with engineers, product owners, and Finance stakeholders to define requirements and integrate solutions.
• Communicate complex analytical findings and model results clearly to both technical and non-technical finance audiences.
• Research and apply cutting-edge data science techniques to improve existing methodologies and capabilities.
• Develop and present data visualizations, dashboards, and reports to illustrate insights and track key financial metrics.
• Mentor junior data scientists on best practices for analysis, modeling, and productionization.

Data Science, Finance, Algorithms, Analysis Skills, Forecasting, Cost Analysis, Machine Learning, Finance, Mentoring, Performance Modeling, * Expertise in developing and implementing complex machine learning and statistical models, ideally on financial or transactional data.

• Proficient in preparing, cleaning, and transforming large datasets.
• Strong coding skills in Python or R, with relevant libraries (e.g., scikit-learn, pandas, NumPy).
• Ability to create clear, insightful data visualizations and dashboards for finance stakeholders.
• Experience in designing, executing, and analyzing controlled experiments (A/B testing).
• Excellent ability to articulate complex findings to technical and non-technical audiences and work cross-functionally.
• Proficient in querying and managing data in relational and non-relational databases, including ERP sources such as Oracle Fusion.