Senior Data Scientist

Get AI-powered advice on this job and more exclusive features. We’re looking for a Data Scientist who can help us build our analytics engine by making meaning from data and identifying opportunities for improvement. As a Data Scientist at Mercury focused on Financial & Accounting Workflows, you will partner with product and engineering teams building tools that help founders, bookkeepers, and finance teams manage their businesses. Your work will span core accounting needs (Books, Accounting Integrations) and broader financial workflows (spend management, invoicing, payroll, etc.). You’ll develop deep expertise in how these workflows can be automated, streamlined, and made more insightful through data. Your impact will shape how customers adopt, engage with, and find value in Mercury’s financial tools. Here are some things you’ll do on the job: Partner with Financial & Accounting Workflow stakeholders (Books, Accounting Integrations, Spend Management, Payroll) to define success metrics for new product initiatives and ensure teams have the right measurements in place. Collaborate with product and engineering to design and analyze experiments that guide product decisions and validate impact. Contribute to launches of new products like Books by helping scope success criteria, tracking adoption, and analyzing performance post-launch. Work closely with product teams to surface insights that inform iteration and help identify opportunities for deeper engagement or new product lines. Partner with engineers to prototype and apply ML/AI solutions (such as autocategorization, reconciliation, or intelligent recommendations) that streamline financial workflows. Build dashboards, data pipelines, and reporting that enable self-serve analytics for product and business partners. You should: Have 3–5 years of experience in product analytics or data science, ideally with exposure to financial workflows, accounting, or B2B SaaS products. Be fluent in SQL and proficient in a statistical programming language (e.g., Python). Have experience designing and analyzing A/B tests, and applying causal inference methods. Be comfortable building data pipelines, dashboards, and reports using modern data stack tools such as Snowflake, dbt, and Omni or Metabase. Have experience with ERP/accounting systems (QuickBooks, Xero, NetSuite) or accounting workflows. Experience applying ML or GenAI to real-world product problems. Be organized and communicative, able to manage multiple priorities and collaborate with stakeholders at different levels of technical fluency. 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. Our target new hire base salary ranges for this role are the following: US employees (any location): $166,600 - $208,300 Canadian employees (any location): CAD 157,400 - 196,800 Mercury is a financial technology company, not a bank. Banking services provided through Choice Financial Group, Column N.A, and Evolve Bank & Trust, Members FDIC. Mercury values diversity and belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on January 22, 2024. Please see the independent bias audit report covering our use of Covey here. Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology #J-18808-Ljbffr