Data Scientist – Customer Experience
Role Summary
This role focuses on hands-on analytical and data science work to uncover patterns, predict outcomes, and quantify drivers of customer experience and product support performance. The Data Scientist applies statistical analysis, machine learning, and experimentation to solve well-defined problems and support larger CX insight initiatives.
This is a strong technical individual contributor role, partnered closely with senior analysts, data engineers, and business stakeholders.
Key Responsibilities
Applied Analytics & Modeling
- Perform exploratory data analysis to identify patterns in customer behavior, service performance, and operational outcomes
- Build statistical and machine learning models to support CX use cases such as issue drivers, service outcomes, and risk prediction
- Develop and validate models using Python and enterprise ML platforms
Data Preparation & Feature Engineering
- Work with structured and semi-structured data from Snowflake, SAP, Salesforce, telephony systems, and enterprise data warehouses
- Create reusable features and datasets to support repeatable analysis and modeling
Insight Development
- Translate analytical outputs into clear findings and visualizations in support of broader CX narratives
- Partner with Senior Data Scientists, Data Engineers, and Business Data Analysts to support decision-oriented insights
Responsible Analytics
- Adhere to data governance, security, and regulatory requirements
- Ensure analytical methods are transparent, well-documented, and appropriate for enterprise decision-making
MUST HAVES
- 3+ years of hands-on experience in analytics or data science roles
WE VALUE
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or related field
- Strong proficiency in Python for analysis and modeling
- Solid SQL skills and experience working with large enterprise datasets
- Experience with data visualization tools (Power BI and/or Tableau)
- Experience applying ML techniques in CX, service, or operational contexts
- Exposure to NLP, text analytics, or unstructured customer data
- Familiarity with regulated or compliance-heavy data environments
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status
BENEFITS OF WORKING FOR HONEYWELL
In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays.
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. posted 5/11/2026
Honeywell is an equal opportunity employer. You will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, or veteran status.
#AERO26
Skills Required
- 3+ years of hands-on experience in analytics or data science roles
- U.S. person status (U.S. citizen, permanent resident, asylum/refugee)
- Proficiency in Python for analysis and modeling
- Solid SQL skills and experience with large enterprise datasets
- Experience with data visualization tools (Power BI and/or Tableau)
- Experience with Snowflake, SAP, Salesforce, telephony systems, or enterprise data warehouses
- Experience applying ML techniques in CX, service, or operational contexts
- Exposure to NLP, text analytics, or unstructured customer data
- Familiarity with regulated or compliance-heavy data environments
- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, or related field
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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