Staff Data Scientist

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.

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

• 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
• 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

Research and Collaboration

• 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

Benefits

CINC Systems is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.