The Senior Data Scientist serves as the technical leader for advanced analytics and data science within the Customer Experience organization. This role tackles the most complex CX and service-related analytical problems, mentors other data scientists, and partners closely with business leaders to ensure analytical work drives measurable impact.
This role balances deep hands-on technical work with thought leadership, solution design, and analytic rigor.
ResponsibilitiesAdvanced Modeling & Analytics Leadership
- Design, build, and deploy advanced analytical and machine learning solutions for CX and product support use cases
- Lead complex modeling efforts (e.g., predictive risk, outcome forecasting, driver analysis, optimization)
- Evaluate emerging AI and ML techniques for practical application within a regulated enterprise environment
Technical Direction & Mentorship
- Provide technical mentorship and review for other data scientists
- Establish best practices for modeling, experimentation, documentation, and validation
- Influence analytic standards across CX-focused data science initiatives
Partnership & Translation
- Partner with Senior Business Data Analysts & Data Engineers to translate business problems into analytically robust approaches
- Communicate complex analytical results clearly to non-technical stakeholders
- Support executive and senior leader understanding of predictive and AI-driven insights
Data & Platform Collaboration
- Collaborate with Data Engineers to ensure data pipelines, feature stores, and ML workflows are fit for purpose
- Contribute to AI-enabled self-service analytics and React-based front-end experiences where appropriate
- Master’s degree or higher in Data Science, Applied Mathematics, Statistics, Engineering, or related field (or equivalent experience)
- 9+ years of hands-on experience in data science or advanced analytics roles
- Expert proficiency in Python and strong SQL capabilities
- Proven experience building and validating ML models in enterprise environments
- Experience working with Snowflake, EDW, and complex enterprise data sources
Preferred Qualifications
- Prior experience leading analytics efforts in CX, service operations, or B2B environments
- Exposure to AI prototyping, model deployment, or ML platform integration
- Experience operating under regulatory, security, or government data constraints
Skills Required
- Master's degree or higher in Data Science, Applied Mathematics, Statistics, Engineering, or related field (or equivalent experience)
- 9+ years of hands-on experience in data science or advanced analytics roles
- Expert proficiency in Python
- Strong SQL capabilities
- Proven experience building and validating ML models in enterprise environments
- Experience working with Snowflake, EDW, and complex enterprise data sources
- Prior experience leading analytics efforts in CX, service operations, or B2B environments
- Exposure to AI prototyping, model deployment, or ML platform integration
- Experience operating under regulatory, security, or government data constraints
The Aerospace Corporation Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The Aerospace Corporation and has not been reviewed or approved by The Aerospace Corporation.
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Retirement Support — The 401(k) plan provides a company‑paid contribution of 8–12% based on years of service with immediate eligibility and vesting, and eligible employees can access retiree medical benefits.
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Leave & Time Off Breadth — Paid time off includes 15 vacation days (rising to 20 after five years), nine paid holidays, and unlimited sick time for exempt employees with accruals for non‑exempt staff.
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Flexible Benefits — Flexible work models include a 9/80 schedule with alternating Fridays off, supported by backup care services, an EAP, relocation assistance, and home‑office stipends where applicable.
The Aerospace Corporation Insights
What We Do
The space enterprise has been transformed by rapid change and growth. New vehicles for national security space, a more rapid launch cadence, proliferated satellite constellations, the pursuit of interplanetary exploration, and thriving commercial ventures are changing the nature of the space industry. The Aerospace Corporation (Aerospace) is a leading architect for U.S. space programs, shaping efforts to outpace threats to our national security while cultivating the technologies needed to further this new era of space commercialization and exploration. Aerospace works across the space enterprise in service of the public interest. In addition to supporting the Department of Defense and the Intelligence Community, our customers include NASA, NOAA, numerous federal agencies, and commercial space — all of whom benefit from our deep technical knowledge. We only pursue business related to the space mission and complementary fields, operating as the nation’s trusted partner to solve the toughest challenges and develop reliable and innovative technologies. Innovation in space occurs when people have the freedom to imagine and do. At Aerospace, we take pride in our readiness to solve some of the most complex challenges in the space enterprise.
Why Work With Us
We are a non-profit corporation chartered by the government to work on the hardest problems in space. We employ technical experts in every discipline of space-related science and engineering who touch every part of the US space program. Come join us as we make an impact bigger than ourselves.
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