Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
About the role
- Data Scientist analyzing user behavior and developing insights for Syskit’s Microsoft 365 management platform. Collaborating across teams to improve product strategy and customer engagement.
Responsibilities
- Build and maintain an analysis-ready customer data model that enables reliable reporting, segmentation, and decision-making
- Analyze user behavior to understand how customers use the product, with a strong focus on usage, engagement, and adoption
- Identify bottlenecks and pain points in the product and propose data-driven improvements
- Develop customer segmentation based on behavior, firmographics, and engagement patterns
- Define churn and renewal risk signals, and build proactive monitoring that Sales and Customer Success can act on (with predictive models added where justified)
- Define and maintain expansion signals that surface product usage patterns to support upsell and cross-sell motions
- Provide insights to support marketing campaigns, including identifying customers most likely to convert
- Partner with Engineering to define and maintain telemetry standards, closing data gaps so key business questions can be reliably answered
- Collaborate with Product, Engineering, Design, Sales, and Customer Success to ensure analytics directly support business and product decisions
- Communicate insights clearly and in a business-oriented way to influence strategy and execution
Requirements
- Completed studies in a quantitative field (Computer Science, Mathematics, Statistics, Engineering, or similar)
- Experience working with data analysis, statistics, and machine learning techniques
- Strong proficiency in SQL and Python or R (or similar data-focused programming languages)
- Experience with data visualization and reporting tools (MS Power BI or similar)
- Solid understanding of data modeling, experimentation, and analytics best practices
- Ability to translate complex data into clear insights for non-technical stakeholders
- Strong analytical thinking and problem-solving skills
- Curiosity, ownership, and eagerness to explore new technologies in a collaborative team environment
Benefits
- Flexible working hours and remote work
- Personal growth training and opportunities
- 25 days of annual leave
- 4-day work week during July and August
- Team-building activities and after-work parties
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
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