Senior Data Scientist Accounting @ Mercury
placeHybrid
attach_money $180,000
businessHybrid
scheduleFull Time
Posted 1 day ago
Your Application Journey
Interview
Email Hiring Manager
***** @mercury.com
Recommended after applying
Job Details
Overview
At Mercury, as a Senior Data Scientist Accounting, you will work on the development of analytics tools and data-driven solutions for Financial & Accounting Workflows. You will partner with product, engineering, and financial teams to build self-serve dashboards, data pipelines, and machine learning solutions to enhance core accounting systems and broader financial processes.
Responsibilities
- Partner with Financial & Accounting Workflow stakeholders to establish success metrics.
- Collaborate with product and engineering teams to design experiments and analyze outcomes.
- Drive the launch and iteration of new products informed by data insights.
- Prototype and implement ML/AI solutions for tasks like autocategorization and reconciliation.
- Build dashboards, data pipelines, and reports for self-serve analytics.
Requirements
- 3–5 years experience in product analytics or data science, especially in financial workflows.
- Fluency in SQL and proficiency in Python or similar statistical programming languages.
- Experience with designing and analyzing A/B tests and applying causal inference methods.
- Hands-on experience with modern data stack tools such as Snowflake, dbt, and reporting platforms.
- Background with ERP/accounting systems like QuickBooks, Xero, or NetSuite.
- Experience with applying ML or GenAI to product challenges.
- Strong organizational and communication skills to manage multiple priorities.
Compensation & Benefits
The total rewards package includes a competitive base salary, equity (stock options), and benefits. Salary offers are based on experience, geography, and internal pay equity.
Key Skills/Competency
- Data Science
- Accounting
- SQL
- Python
- ML/AI
- Data Pipelines
- Dashboards
- A/B Testing
- ERP Systems
- Financial Analytics
How to Get Hired at Mercury
🎯 Tips for Getting Hired
- Customize your resume: Tailor your experience to financial analytics.
- Research Mercury: Understand their fintech and accounting focus.
- Prepare technical insights: Showcase SQL, Python, and ML expertise.
- Practice case studies: Demonstrate data-driven problem solving.
📝 Interview Preparation Advice
Technical Preparation
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Review SQL queries and data manipulation.
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Practice Python coding challenges.
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Study statistical testing and A/B experiments.
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Familiarize with modern data stack tools.
Behavioral Questions
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Describe a challenging data project.
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Explain effective cross-functional communication.
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Discuss prioritizing multiple projects.
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Share experience in stakeholder collaboration.
Frequently Asked Questions
What background is needed for a Senior Data Scientist Accounting at Mercury?
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How does Mercury integrate ML in its financial products?
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What technical skills are essential for this role at Mercury?
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How should one prepare for an interview at Mercury for this role?
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