Mercury is looking for a Data Scientist to partner with their Finance team to develop robust forecasts and drive data-based decision-making. The goal is to leverage advanced analytics and predictive modeling techniques to analyze large data sets, identify trends, and generate insights that inform product roadmaps and financial planning.
Requirements
- Have strong forecasting experience including methodologies such as ARIMA and Prophet to apply to problems such as LTV and CAC.
- Have fluency in SQL, and other statistical programming languages (e.g. Python, R, etc.).
- Have experience building scalable data pipelines and ETL processes with DBT and understand different database structures.
- Have the ability to proactively ask questions, turn them into analyses, and make your case to various stakeholders, including senior leadership.
- Be familiar with analytical models/analysis used to support product teams.
- Have 5+ years of experience working with and analyzing large datasets to solve problems and drive impact.
Responsibilities
- 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.
- 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.
- Conduct deep-dive analysis, translate data insights into actionable recommendations and communicate findings to audiences at all levels to inform data-driven decisions.
- Educate teams on how to best use data and define best practices for making decisions on prioritization, experimentation, data models, and more.
Other
- Partner with Finance and Product stakeholders and other cross-functional teams to identify impactful business questions.
- Able to work independently with Finance.
- Be super organized and communicative.
- You will need to prioritize and manage projects to maximize impact, supporting multiple stakeholders with varying quantitative skill levels.
- Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer.
