Senior Data Scientist - Finance

About the Role

We are looking for a Data Scientist to partner with our Finance team to develop robust forecasts and drive data-based decision-making. In this role, you will leverage advanced analytics and predictive modeling techniques to analyze large data sets, identify trends, and generate insights that inform product roadmaps and financial planning. You will collaborate closely with cross-functional stakeholders in Product to refine forecasting processes, improve accuracy, and help shape company strategy through data-driven recommendations.

What You'll Do

• Partner with Finance and Product stakeholders and other cross-functional teams to identify impactful business questions, conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions.
• Build a forecasting platform that can be used across Mercury. Can be used with a variety of inputs to forecast (e.g., users, revenue, profit) and model types.
• Define and analyze metrics that inform tactical decisions and overall strategy for teams that allow us to monitor the health of our products.
• Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more.
• Use forecasting techniques to better understand our customer base, business economics, and potential growth levers.
• Collaborate with other Data Scientists and Data Engineers to build and improve data pipelines, tools, and infrastructure to streamline data collection, processing, and analysis workflows, and ensure the integrity, reliability, and security of data assets.
• Influence engineering, design, and business teams to implement data-based recommendations that will improve entrepreneurs’ lives and generate revenue for Mercury.

What You Should Have

• Experience: 5+ years of experience working with and analyzing large datasets to solve problems and drive impact.
• Forecasting Expertise: Strong forecasting experience including methodologies such as ARIMA and Prophet to apply to problems such as LTV and CAC.
• Independence: Able to work independently with Finance.
• Technical Skills:
  • Fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.).
  • Experience building scalable data pipelines and ETL processes with DBT and understand different database structures.
• Analytical Acumen: The ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership.
• Organization & Communication: Be super organized and communicative. You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels.
• Product Familiarity: Be familiar with analytical models/analysis used to support product teams.

Total Rewards

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Salary Ranges

Our target new hire base salary ranges for this role are the following:

• US employees (any location): $200,700 - 250,900 USD
• Canadian employees (any location): CAD 189,700 - 237,100

About Mercury

Mercury is a financial technology company, not a bank. Banking services provided through Choice Financial Group, Column N.A, and Evolve Bank &