Data Scientist, FP&A Solutions

Location: California, USA — Remote

Salary: $109,000–$196,020 annually base salary for U.S.-based roles; offers may vary by experience and geographic location.

Company

hirify.global develops software that helps innovators design and create buildings, products, factories, vehicles, and entertainment.

What you will do

• Partner with FP&A, Finance, Data Engineering, and business leaders to identify advanced analytics opportunities.
• Develop Python-based forecasting models, simulations, predictive models, and automation for financial and operational use cases.
• Build scalable datasets and analytical workflows with Snowflake, SQL, and Python.
• Automate FP&A processes such as data preparation, variance analysis, forecast updates, reporting, and performance analysis.
• Design scenario and sensitivity models, identify financial drivers and risks, and translate results into recommendations.
• Establish model validation, monitoring, documentation, governance, and data-quality controls.

Requirements

• 5+ years of experience in data science, advanced analytics, financial analytics, FP&A analytics, or a related field.
• Advanced Python skills, including experience with pandas, NumPy, scikit-learn, statsmodels, or similar frameworks.
• Advanced SQL skills and hands-on experience with Snowflake.
• Strong knowledge of budgeting, forecasting, variance analysis, financial modeling, management reporting, and scenario planning.
• Experience developing statistical, predictive, or machine-learning models and automated, reproducible analytical workflows.
• Bachelor’s or master’s degree in a quantitative discipline or equivalent practical experience, plus strong communication and cross-functional collaboration skills.

Nice to have

• Experience supporting a corporate FP&A organization, financial forecasting, time-series analysis, driver-based planning, Monte Carlo simulation, or scenario modeling.
• Experience with Snowpark for Python, dbt, orchestration tools, financial planning platforms, or BI tools.
• Experience applying machine learning, generative AI, or intelligent automation to Finance use cases.
• Familiarity with Git, testing, CI/CD, code review, and modern software development practices.

Culture & Benefits

• Remote work arrangement for this U.S.-based role.
• Health and financial benefits, paid time away, and wellness support.
• Inclusive workplace focused on belonging and equal opportunity.
• This role may require in-person onboarding or identity verification.