Data Scientist - Financial Planning & Analysis

About Fusemachines Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive clients' AI Enterprise Transformation regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.

Fusemachines continues to pursue its mission of democratizing AI by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

Important: Immigration Sponsorship Policy This position is not eligible for employment visa sponsorship or transfer sponsorship now or in the future. Fusemachines will not provide direct company sponsorship such as H-1B, J-1, or TN visas; act as an Employer of Record on immigration documentation; or provide letters or other support for work authorization such as OPT, STEM OPT, or CPT.

About the Role We are seeking a Data Scientist to support Financial Planning & Analysis by developing forecasting models, analytical tools, and data-driven insights that improve financial planning and business decision-making.

This role combines financial analysis, statistical modeling, machine learning, and data engineering. The ideal candidate understands how financial statements and business drivers interact and can translate complex data into practical recommendations for finance and executive stakeholders.

Required Qualifications Bachelor's degree in Data Science, Statistics, Economics, Finance, Mathematics, Computer Science, or a related field. 7+ years of experience in data science, financial analytics, business analytics, or a related role. Proficiency in Python and SQL. Experience with statistical analysis, predictive modeling, and time-series forecasting. Understanding of budgeting, forecasting, variance analysis, and financial performance management. Ability to work with large, complex datasets from multiple systems. Experience developing dashboards with tools such as Power BI, Tableau, or Looker. Strong analytical, problem-solving, and quantitative reasoning skills. Ability to translate technical findings into clear business and financial recommendations. Strong written and verbal communication skills.

Preferred Qualifications Experience working directly within an FP&A, corporate finance, or strategic finance team. Understanding of income statements, balance sheets, cash flow statements, and management reporting. Experience with forecasting techniques such as regression, ARIMA, exponential smoothing, gradient boosting, or probabilistic forecasting. Experience with financial planning platforms such as Anaplan, Adaptive Planning, Oracle EPM, SAP Analytics Cloud, or similar tools. Familiarity with ERP and financial systems such as SAP, Oracle, NetSuite, or Microsoft Dynamics. Experience with cloud data platforms such as Snowflake, Databricks, AWS, Azure, or Google Cloud. Familiarity with scenario simulation, optimization, causal inference, or sensitivity analysis. Experience deploying analytical models into production environments. Knowledge of data governance, model monitoring, and financial control requirements.