What you'll do
- Assess financial and operational data for predictive readiness, identifying useful drivers and material gaps.
- Build baseline and machine-learning forecasts for a focused Finance use case.
- Evaluate accuracy, stability, and explainability using appropriate backtesting.
- Prepare model outputs for Anaplan consumption and demonstrate an integration prototype with the team.
- Recommend the data, monitoring, and review practices needed to support reliable forecast updates.
- Present findings and deliver documented, reproducible work that informs the next stage of development.
Required qualifications
- Pursuing a Bachelor's or Master's degree in data science, statistics, computer science, applied mathematics, economics, or a related field.
- Coursework or project experience with Python, SQL, statistics, and predictive modeling.
- Ability to assess data quality and communicate model assumptions and limitations.
Preferred qualifications
- Experience with time-series forecasting, feature engineering, or model evaluation.
- Familiarity with Databricks, financial data, or enterprise planning.
- Interest in integrating machine learning into practical business workflows.
- Strong curiosity, collaboration, and problem-solving skills.
Skills Required
- Pursuing a Bachelor's or Master's degree in data science, statistics, computer science, applied mathematics, economics, or a related field.
- Coursework or project experience with Python, SQL, statistics, and predictive modeling.
- Ability to assess data quality and communicate model assumptions and limitations.
- Experience with time-series forecasting, feature engineering, or model evaluation.
- Familiarity with Databricks, financial data, or enterprise planning.
- Interest in integrating machine learning into practical business workflows.
- Strong curiosity, collaboration, and problem-solving skills.
What the Team is Saying
Shield AI Compensation & Benefits Highlights
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Healthcare Strength — Company materials highlight comprehensive medical, dental, and vision coverage with mental-health support and an EAP. Third-party benefits summaries also portray health coverage as a strong component of the package.
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Retirement Support — Offerings include a 401(k) with employer matching, cited on the careers page and independent benefits directories. Multiple sources indicate a match exists, though exact formulas have varied over time and warrant confirmation.
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Equity Value & Accessibility — Company communications describe equity for all full-time hires and stock benefits as part of total rewards. Independent listings also note company equity/RSUs as a standard element.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
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Shield AI Teams
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Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
