• Design, implement, and maintain production ML models focused initially on pricing and availability, later expanding into forecasting, automation, and optimization • Establish principles, infrastructure, and systems for a scalable data science function • Improve data pipelines, modeling, governance, reliability, and data quality • Collaborate with executives and cross-functional teams to translate complex data into insights, metrics, and recommendations • Promote experimentation, statistical rigor, and data storytelling • Mentor peers and help establish a future data science team • Embed elasticity models, demand forecasts, and operator availability logic into the core platform • Build dynamic pricing and matching rules or models to optimize customer price acceptance, operator match rates, supply efficiency, and profitability • Establish controlled-experiment and monitoring frameworks with KPIs balancing margin, conversion, and operator acceptance • Create explainable, measurable pricing and availability strategies and dashboards for Product, Sales, Finance, and Operations • Develop repeatable processes and systems to scale pricing and operator matching beyond one-off analysis • Report to the Chief Product Officer

• Perform foundational data preparation and cleansing for analytics and reporting • Execute routine analytical models under the direction of the Senior Analyst • Validate and organize data for analysis • Develop and maintain scripts to automate routine data processing and queries • Write and execute SQL queries to extract and manipulate data • Support automation efforts to improve data collection and reporting • Create basic dashboards and data visualizations using standard business intelligence tools • Support development of reports and analytical products for stakeholders • Communicate analytical findings through clear visualizations and reporting • Collaborate with the Senior Analyst and other data team members • Participate in data validation, quality assurance, and continuous process improvement • Support analytics initiatives across the Marine Corps Logistics GPN program

• Participate in the design and development of algorithm strategies for user growth, including user segmentation, intelligent recommendation, and incentive strategy optimization • Build user lifecycle models, including LTV prediction, churn warning, and conversion prediction, based on user behavior data • Design and implement A/B testing experiments to evaluate growth strategies and drive continuous iteration and optimization • Explore user characteristics and behavioral patterns using machine learning and causal inference methods to improve retention and conversion • Collaborate with product, operations, and engineering teams to translate algorithmic capabilities into measurable business growth outcomes

• Support the Data and Analytics Director, data, digital, and field teams in implementing organizational and programmatic goals • Develop MOCHAs, update project management systems such as AirTable or Asana, and support staff in meeting project needs and deadlines • Scope timelines for major milestones and adjust workplans • Lead field strategy, data analysis, and coordination for direct voter contact programs • Provide data-driven recommendations on campaign field strategy and targeting • Build and maintain direct voter contact universes for field, mail, and digital programs • Create SQL queries and commit voter contact universe criteria to GitHub • Advise on voter communications based on program phase and tactics • Manage voter file access, resources, markers, training, and technical assistance • Lead the overhaul and maintenance of EveryAction data-management workflows • Champion data best practices through conferences, briefings, documentation, and knowledge sharing • Manage the JIRA ticketing system, including request types, assignments, timelines, and troubleshooting • Establish and maintain data-collection best practices with organizing teams • Facilitate reporting infrastructure development, dashboard feedback, code review, testing, and troubleshooting • Maintain documentation of technology and data products and processes in the shared drive • Provide data management support involving activist codes, survey structures, automations, and committee structures • Audit platforms annually for correct data-collection configuration • Support coalition alignment on voter-file resources, targeting, data, and tactics • Build relationships with state teams, troubleshoot voter-file issues, and advocate for organizer needs • Develop data collection and maintenance strategies for organizing programs and tools • Design an organizing journey across c3 and c4 programming while reducing manual maintenance • Support organizing-platform adoption and data-informed best practices • Participate in staff meetings, study sessions, retreats, strategy development, implementation, work planning, fundraising, and budget development • Assist with contract reviews, renewals, scopes of work, platform onboarding, and platform sunsetting • Complete work plans, reports, and professional development planning; perform other duties as assigned