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
Qualifications 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.
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