Data Scientist – Forecasting & Predictive Modeling

Overview:

We are seeking a results-driven and detail-oriented Data Scientist with strong technical capabilities in Python, SQL, and machine learning to support our forecasting initiatives. The ideal candidate will bring a minimum of one year of hands-on experience developing and implementing forecasting models, with a strong preference for candidates who have worked on financial forecasting in complex data environments. While healthcare experience is a plus, proven forecasting expertise—particularly in sectors such as financial services, banking, or e-commerce—is of higher priority.

Key Responsibilities:

• Develop, test, and maintain machine learning models with a focus on forecasting and predictive analytics.
• Write efficient, scalable code in Python and SQL with minimal supervision.
• Collaborate with cross-functional teams to translate business needs into analytical solutions.
• Deploy machine learning models into production environments and support model performance monitoring.
• Clearly communicate model insights, limitations, and business implications to technical and non-technical stakeholders with guidance.
• Contribute to continuous model improvement and operationalization initiatives.
• Stay informed on emerging trends in machine learning, artificial intelligence, and production deployment practices.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
• 1+ years of experience building and deploying machine learning models, with demonstrable success in financial forecasting or similar use cases.
• Proficiency in Python and SQL for data manipulation, feature engineering, and model development.
• Experience working with libraries such as scikit-learn, pandas, NumPy, or TensorFlow.
• Exposure to production deployment workflows and model lifecycle management.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Experience in the healthcare domain is advantageous but not required.

Ideal Candidate Profile:

A high-performing contributor with strong coding ability, analytical thinking, and a focus on business value. You have worked on practical forecasting problems—ideally related to financial outcomes—and can contribute to deploying scalable solutions in real-world environments. You thrive in collaborative settings and can adapt to a dynamic, data-driven culture.