Destination Pet, LLC

Data Scientist

• Help define and build the data science strategy for a newly formed pet health data business unit
• Analyze large, complex, and multi-source datasets related to pet health, veterinary care, pet services, customer behavior, and service utilization
• Build predictive models, segmentation models, forecasting tools, and other analytical solutions to identify trends, patterns, and commercial opportunities
• Partner with product, technology, commercial, operations, and executive stakeholders to identify data products and insights that can be monetized
• Support the development of data products that may be sold to external customers, partners, or industry stakeholders
• Work with internal and external data sources, including veterinary partners, pet care centers, customer systems, and third-party datasets
• Lead cross-functional efforts in data cleaning, normalization, deduplication, taxonomy creation, and quality control
• Translate complex analytical findings into clear, actionable insights for non-technical audiences
• Help establish best practices for responsible data use, privacy, governance, de-identification, and data quality
• Operate comfortably in an entrepreneurial environment where business models are still being developed
• Drive the creation of novel, statistically differentiated predictive models
• Help shape the future structure, tools, and capabilities of the data science function as the business scales
• Reports to the Chief Executive Officer
• Travel less than 10%

Director, Data Science

Project Manager

• Own execution of approved enterprise priorities from planning through implementation and adoption
• Lead complex technology, operational, process improvement, and organizational implementation projects across business units and functions
• Develop and manage project plans, including timelines, milestones, dependencies, and deliverables
• Coordinate across DP Holdings (Group), DP 4-Wall, and Yourgi to ensure alignment and execution
• Monitor project progress through tracking, risk management, issue resolution, and executive updates
• Facilitate stakeholder communication, change management, testing, rollout, and adoption
• Drive multiple high-priority initiatives concurrently and reduce project backlog

Director, Data Science

Enterprise Project Manager