Staff Data Scientist
Location: Worldwide (Remote/Hybrid) Reports to: TBD
About CINC Systems
CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly 400 people and provides software and applications to more than 50,000 associations servicing over 5 million doors.
In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company's growth trajectory and institute rapid product development.
At CINC, innovation drives our growth, and our people sustain it. We are proud of our humble, accountable, and team-oriented culture, and we are committed to building products and a workplace that create long term value for our customers and our team.
About the Role
The Staff Data Scientist is a senior individual contributor responsible for advanced data analysis, feature exploration, model design, and research that enable the discovery of new insights and product opportunities. This role focuses on understanding data deeply, experimenting with models, and translating analytical findings into clear recommendations that inform product, engineering, and business decisions.
This is not a reporting or dashboarding role. It is a research-oriented, insight-driven role for someone who thrives on ambiguity, asks sharp questions, and uses data to illuminate what should be built next and why.
Key Responsibilities
Explore large, complex datasets to uncover patterns, anomalies, and opportunities
Design and evaluate statistical and machine learning models to support insight discovery and hypothesis testing
Partner with product, engineering, and business stakeholders to frame questions and translate findings into actionable insights
Conduct feature exploration and selection to inform downstream AI and analytics initiatives
Design experiments and analyses to validate assumptions and measure impact
Develop prototypes and proofs of concept that demonstrate the potential value of new models or approaches
Communicate results clearly through narratives, visualizations, and written recommendations
Stay current with advances in data science, statistics, and applied machine learning
Collaborate with Data Engineering and AI Engineering teams to transition validated ideas into production-ready work
Mentor other data scientists and analysts, raising the level of analytical rigor across the organization
Qualifications
Technical Expertise
10+ years of experience in data science, applied research, or advanced analytics roles
Strong foundation in statistics, probability, and experimental design
Experience designing and evaluating machine learning models for classification, regression, clustering, or forecasting
Proficiency in Python and common data science libraries
Experience working with large datasets in SQL-based and analytical data environments
Ability to reason about data quality, bias, and limitations
Research and Collaboration
Proven ability to work in ambiguous problem spaces and define meaningful analytical questions
Strong communication skills, able to explain complex findings to non-technical audiences
Experience influencing product or business strategy through data-driven insights
Comfortable collaborating across disciplines without formal authority
Structured thinker who can balance exploration with rigor
Mindset and Values
Deep curiosity and a passion for discovery
Belief that insights precede automation and that not every problem needs a model
Learning-first attitude, continuously improving methods and tools
Pragmatic and outcome-oriented, focused on decisions and impact
Respects the difference between research, engineering, and operations while collaborating closely with all three
What Success Looks Like
New insights lead directly to product opportunities, experiments, or strategic decisions
Models and analyses are trusted, well-reasoned, and reproducible
Stakeholders understand not just the results, but the implications and trade-offs
Promising ideas move efficiently from discovery to validation and into engineering roadmaps
The Staff Data Scientist is recognized as a thought partner and expert across the organization
CINC is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 80183947
- Position Id: 91759c24ff232956184de9bcbf7e9a9b
- Posted 2 hours ago
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