Data Scientist - Financial Planning & Analysis

North Eastern Services; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

Fusemachines is 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 blends financial analysis, statistical modeling, machine learning, and data engineering.

The candidate should understand finance statements and translate complex data into actionable recommendations for executives; collaboration across FP&A, finance, and

Qualifications

• Bachelor's degree in data-related field.
• 7+ years in data science, analytics, or FP&A.
• Proficiency in Python and SQL; strong statistical background.

Responsibilities

• Develop predictive models for revenue, expenses, cash flow, and profitability.
• Build driver-based forecasting for budgets and long-range planning.
• Analyze historical performance and external factors to identify trends and risks.
• Create dashboards and automated reporting on financial and operational metrics.
• Present findings to finance leaders and executives.

Skills

Python

SQL

Time-series forecasting

Statistical analysis

Data visualization

Business analytics

Communication

Education

Bachelor’s degree in Data Science, Statistics, Economics, Finance, Mathematics, Computer Science, or a related field

Tools

Power BI

Tableau

Looker

Job description

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 the 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 a suite of 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 actively pursue the mission of democratizing AI for the masses 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 elegible for employment visa sponsorship or transfer sponsorship now or in the future.

• Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
• Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
• Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, 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.

Key Responsibilities

• Develop predictive models for revenue, expenses, cash flow, profitability, and other key financial metrics.
• Build driver-based forecasting and scenario-planning models to support annual budgets, rolling forecasts, and long-range planning.
• Analyze historical performance, operational drivers, and external factors to identify trends, risks, and opportunities.
• Improve forecast accuracy by applying statistical methods, machine learning, and time-series modeling.
• Perform variance analysis to explain differences between actuals, budgets, forecasts, and prior periods.
• Develop sensitivity analyses and simulations to evaluate alternative business scenarios.
• Partner with finance, accounting, operations, sales, and other business teams to define analytical requirements and success measures.
• Create dashboards and automated reporting tools that provide visibility into financial and operational performance.
• Integrate and analyze data from ERP, CRM, financial planning, and operational systems.
• Identify data quality issues and work with technical and business teams to improve financial data reliability.
• Present analytical findings and recommendations to finance leaders and senior executives.
• Document models, assumptions, data sources, methodologies, and validation results.
• Support the responsible use of machine learning and generative AI within finance workflows.

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.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local.