• Lead the analysis, design, and implementation of end‑to‑end process improvements across Enterprise Services domains, integrating statistical models and predictive insights to quantify impact and optimize outcomes • Develop and govern standardized process frameworks, documentation, and controls aligned with CORE, ensuring strong data integrity, audit readiness, and SOX compliance • Drive large scale, cross functional transformation initiatives, using techniques such as forecasting, simulation modeling, scenario analysis, and capacity planning • Translate business needs into executable process designs aligned with HRIS, ERP, and digital platforms, ensuring data flows support accurate modeling and analytics • Identify and enable opportunities for automation, digitization, and self‑service, including advanced workforce analytics, decision systems, and workflow telemetry • Establish and monitor KPIs, SLAs, and enterprise metrics, providing statistical analysis and executive decision support tools to ensure benefit realization and operational transparency • Lead change management efforts including stakeholder engagement, communication strategies, and training on data driven decision making and process design • Provide mentorship and functional leadership to process engineers, analysts, and CORE team members, strengthening enterprise analytics and continuous improvement capabilities • Travel ~25% as required

• Wir sind die DataSmart Point Academy, ein spezialisierter Weiterbildungsträger mit Fokus auf digitale Zukunftskompetenzen. • In 6, 8 oder 12 Monaten lernst du alles, was du für deinen Einstieg brauchst – mit anerkanntem IHK-Abschluss und praktischen Skills in Excel, SQL, Power BI und Python. • Tools: Excel, SQL, Power BI – Fokus: Geschäftsprozesse verstehen, Daten analysieren, Entscheidungen optimieren. • KI-Modelle bauen, Prozesse automatisieren, tief in die Technik eintauchen.

• 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.