Data Scientist, FP&A Solutions

This is a fully remote position, open to applicants in United States, +3 more locations.

📋 Description

• Collaborate with FP&A and business leaders to uncover opportunities for data science and advanced analytics.

• Create analytical models, forecasting solutions, simulations, and automation using Python.

• Construct and uphold scalable datasets and analytical workflows utilizing Snowflake, SQL, and Python.

• Develop predictive models for revenue, expenses, headcount, bookings, customer behavior, cash flow, and overall business performance.

• Enhance financial forecasting through statistical modeling, machine learning methodologies, driver-based forecasting, and scenario analysis.

• Automate routine FP&A processes, including data preparation, variance analysis, forecast updates, management reporting, and financial performance evaluation.

• Conduct financial and operational variance analysis to pinpoint drivers, trends, anomalies, and potential risks.

• Design scenario and sensitivity models to aid leadership decision-making.

• Integrate financial and operational data from various systems into reliable Snowflake datasets.

• Develop reusable Python libraries, notebooks, pipelines, and analytical frameworks.

• Collaborate with Data Engineering to enhance data quality, architecture, governance, and performance.

• Interpret complex analyses and model outputs into clear insights and actionable recommendations.

• Establish model validation procedures, monitoring, documentation, and data-quality controls.

• Advocate for data science, automation, and AI capabilities within the Finance department.

⛳️ Requirements

• Over 5 years of experience in data science, advanced analytics, financial analytics, FP&A analytics, or a related field.

• Expertise in Python, with advanced proficiency in libraries such as pandas, NumPy, scikit-learn, statsmodels, or similar analytical frameworks.

• Advanced SQL capabilities and practical experience with Snowflake.

• Solid understanding of FP&A concepts, including budgeting, forecasting, variance analysis, financial modeling, management reporting, and scenario planning.

• Experience in developing statistical, predictive, or machine-learning models applied to large financial or operational datasets.

• Proficiency in building automated and reproducible analytical workflows.

• Strong grasp of data modeling, data transformation, and analytical data structures.

• Capability to assess data quality and identify inconsistencies, anomalies, and underlying business drivers.

• Excellent communication skills, with the ability to convey technical concepts and analytical findings to non-technical audiences.

• Proven ability to collaborate across Finance, Data, Technology, and business sectors.

• Bachelor's or master's degree in Data Science, Statistics, Computer Science, Economics, Finance, Mathematics, Engineering, or a related quantitative discipline, or equivalent practical experience.

• Preferred: experience supporting corporate FP&A; financial forecasting, time-series analysis, driver-based planning, Monte Carlo simulation, or scenario modeling; familiarity with Snowpark, dbt, orchestration tools, modern data engineering; knowledge of financial planning platforms; expertise in Power BI, Tableau, or Looker; experience with machine learning, generative AI, or intelligent automation; familiarity with Git, testing, CI/CD, code review, and version control; experience in large, global, or matrixed organizations.

🏝️ Benefits

• Annual cash bonuses may be included.

• Stock grants may be included.

• Comprehensive benefits package.

• Health and financial benefits.

• Time away and everyday wellness benefits.

• In-person onboarding and/or in-person ID verification may be provided/required.