• Test, maintain, and enhance our marketing strategies across numerous distribution channels. • Expand and diversify Root’s direct marketing portfolio by shepherding new mid-upper funnel channels from R&D to production. • Rapidly prototype, test, and iterate on novel marketing strategies in the mid and upper funnel. • Design time- and cost-efficient A/B tests that enable rigorous measurement of the incremental profit impact of marketing campaigns. • Deliver clear and prompt communication of research results that drive action to leaders and stakeholders.

Role Description Zapata Technology is hiring a Data Scientist who wants their work to matter beyond dashboards. You’ll turn complex, messy data into risk models and visualizations that Army leaders actually use to make decisions affecting real people and units. This role blends data engineering, modeling, and storytelling — and puts you directly in front of senior leaders to explain what the data is saying and why it matters. This is not a back-room analytics job. You’ll build the data, build the models, and brief the results. What You’ll Actually Do (Job Functions) - Prepare model-ready datasets from constantly updating, imperfect data sources - Perform feature engineering and develop quantitative risk models - Transition reporting workflows into Army Vantage using Palantir Foundry - Build web-based visualizations that accompany model outputs for leader reviews - Support weekly assessment and reporting used by Army leadership - Brief findings and model results to senior officers and staff - Work with stakeholders to turn vague questions into measurable analytics Why This Role Is Interesting to a Data Scientist - Your models are used in real decision forums - You’ll work across the full lifecycle: data → features → model → visualization → briefing - Exposure to one of the Army’s most advanced analytics environments (Vantage/Foundry) - Problems that require creativity, not canned ML solutions - A mission-focused environment where analytics has visible impact Qualifications - 5–10 years of experience building models, visualizations, and analytics tools - Experience briefing technical findings to senior stakeholders Requirements - Writing code for data prep and analysis (Python, PySpark, SQL) - Building and validating quantitative risk models - Turning raw data into clean, usable datasets - Creating visualizations that make complex outputs easy to understand - Explaining technical results clearly to non-technical senior leaders Big Plus If You Have - Experience with Palantir Foundry - Familiarity with Army organizations and data domains - Background or interest in behavioral risk, prevention, or human factors analytics Working Conditions - Prolonged periods sitting at a desk and working on a computer. Position Type/Expected Hours of Work - Full time position Travel - Less than 5% Clearance Type - Requires an active Secret Clearance. AAP/EEO Statement Equal Opportunity Employer – M/F/Disabled/Veteran. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Zapata Technology, Inc. provides reasonable accommodation to applicants who are veterans or who have disabilities and are unable to fully use our company application system. If you need a reasonable accommodation for any part of the application and hiring process, please notify Christina Hall, EEO Coordinator at ChristinaHall@ZapataTechnology.com.

Role Description This role will extract, clean, analyze, and interpret data to identify trends, patterns, and insights that can help make informed decisions. This is a great opportunity for an aspiring college student to get exposure to real life problems and be part of the team to learn. Job Responsibilities - Data Collection and Analysis: Extract relevant data from information provided by others and input it into spreadsheets or standard formats. Using statistical methods, data mining techniques, and other tools to analyze data and identify patterns, trends, and relationships. - Data Interpretation: Understanding the meaning and implications of the analysis findings, drawing conclusions, and identifying potential solutions to business problems. - Data Visualization: Presenting data insights through charts, graphs, dashboards, and other visual tools to make the information easily understandable to stakeholders. - Algorithm Development: Design, test, and refine statistical algorithms on real-world consumer data. Qualifications - Pursuing undergrad degree in computer science, data science, or a related field - At least one year of college degree completed (Sophomore or Junior in College at the time of offer) - Basic understanding of data structures, algorithms, and programming languages - Understanding of statistical concepts, methods, and tools - Knowledge of Microsoft Excel and Word - Excellent verbal and written communication skills Requirements - Stay Curious: Being hungry to learn and grow, always asking the big questions - Seek Clarity: Embracing complexity to create clarity and inspire action - Own the Outcome: Being accountable for decisions and taking ownership of our choices - Center on the Client: Relentlessly adding value for our customers - Be a Challenger: Never complacent, always striving for continuous improvement - Champion Inclusivity: Fostering trust in relationships engaging with empathy, respect and integrity - Commit to each other: Contributing to making Circana a great place to work for everyone Benefits - Paid time off - Medical/dental/vision insurance - 401(k) to eligible employees

• Manage and evolve the company’s Total Reward practices, including compensation, benefits, and job architecture • Manage all aspects of compensation and benefits, ensuring consistency, fairness, market relevance, and business alignment • Own the end-to-end execution of reward processes, including merit cycles, bonus programs, and ongoing compensation and benefits • Lead the detailed planning and execution of reward programs, ensuring accuracy, consistency, and high-quality delivery • Implement compensation structures aligned with business goals and organizational growth • Build and maintain job architecture frameworks, including roles, levels, and compensation bands • Ensure strong alignment between performance, workforce planning, talent decisions, and compensation outcomes • Partner with HRBPs and leadership to support compensation decisions • Work closely with Finance to ensure budget alignment and cost discipline • Build and develop People Analytics as a core capability across all HR domains • Serve as the central owner of people data within HR, working hands-on to analyze trends, identify gaps, and surface actionable insights • Ensure data accuracy, consistency, and reliability across HR systems • Design and implement practical tools, HRIS solutions, and automations that improve how managers and HR operate and enable employees to effectively manage their people journey • Manage and continuously improve HR systems and their functionalities, ensuring they are effective, reliable, and support how HR and the business operate • Drive the use of AI and advanced technologies to build internal tools that improve efficiency, scalability, and data visibility across the HR function