Sundays for Dogs

Data Scientist

• Partner with stakeholders across Marketing, Product, Finance, and Operations to frame business problems and identify where data science and analytics can drive the most impact.
• Develop and deploy data science models (e.g., LTV prediction, churn/retention modeling, propensity scoring, forecasting) to inform growth and operational decisions.
• Perform high-impact exploratory and ad-hoc analyses to answer critical business questions and move quickly on strategic decisions.
• Work closely with Analytics Engineering to translate business needs into scalable datasets, feature sets, and production-ready models.
• Help define and standardize key business metrics, ensuring alignment between analytical outputs and modeled insights.
• Contribute to the rollout and adoption of our dbt project and BI tooling, ensuring models and analyses are built on reliable, well-structured data.
• Build and maintain dashboards and reporting frameworks that complement and operationalize data science insights.
• Design, analyze, and interpret experiments (A/B tests) to evaluate product, marketing, and lifecycle initiatives.
• Investigate performance changes, diagnose root causes, and communicate clear, actionable recommendations to stakeholders.
• Help establish best practices for data science and analytics as we scale the function.
• Work with data and engineering partners to ensure analytical work is built on scalable, reliable data models.

Senior Data Scientist

Analytics Engineer

• Develop and maintain high-quality dbt models, tests, documentation, and workflows to create reliable transformation pipelines.
• Build and optimize dimensional and semantic data models that power business-critical reporting and analysis.
• Partner with data consumers and stakeholders to translate business questions into well-defined datasets and semantic definitions.
• Design, build, and maintain the semantic layer for visualization tools such as Omni Analytics, Looker, or Sigma.
• Ensure data quality and trust by implementing automated testing, monitoring, and observability best practices.
• Collaborate with Engineering to scale pipelines, improve performance, and reduce latency in the analytics stack.
• Own the data modeling strategy and governance standards, including conventions, documentation, and onboarding practices.
• Mentor and guide other analytics engineers and data team members on best practices.

Lead Analytics Engineer

Accountant

• Prepare and post journal entries for accruals, prepaids, revenue, COGS, inventory adjustments, and other routine transactions
• Perform detailed balance sheet and income statement account reconciliations, researching and resolving discrepancies
• Support the month-end and year-end close to ensure timely, accurate financial results
• Assist with revenue recognition, deferred revenue, and subscription activity as applicable
• Maintain schedules for fixed assets, depreciation, and prepaid expenses
• Ensure compliance with U.S. GAAP and internal accounting policies and controls
• Support automation and system integrations between ERP, order management, WMS, and payment platforms
• Contribute to process documentation, continuous improvement, and scaling of accounting operations as the business grows
• Assist with ad hoc reporting and special projects as needed

Senior Data Scientist

Lead Analytics Engineer

Staff Accountant