Top Data Science Jobs in Scottsdale, AZ

Senior analytics partner leading product experimentation, business analytics, consumer behavior analysis, and performance measurement for content and visualization experiences. Responsibilities include exploratory analysis, multivariate testing, metric definition, data quality improvement, ETL pipeline development, self-service AI-enabled reporting, and translating statistical or predictive insights into product and business strategy. The role collaborates with Product, Engineering, Finance, and data teams to influence roadmap decisions and improve consumer engagement.

Develop CRM marketing strategies for Seller and Owner audiences using segmentation, personalization, customer journey analysis, statistical modeling, and machine learning. Measure campaign effectiveness through KPIs and analytical frameworks, identify engagement and retention opportunities, and communicate actionable insights to technical and non-technical stakeholders. Collaborate with Marketing, Data Engineering, and IT teams on data quality, infrastructure, and tailored analytical solutions.

Develops fraud prevention rules and strategies using advanced analytics, statistics, structured and unstructured data. Manages fraud strategy projects, governance, data structures, stakeholder reporting, vendor relationships, and risk mitigation processes. Translates business requirements into analytical solutions, validates scalable analyses, monitors industry trends, and recommends strategies to business partners.

Lead marketing effectiveness, experimentation, causal inference, predictive modeling, attribution, funnel measurement, and customer analytics. Build production-quality datasets, features, and models; assess data quality and instrumentation; communicate uncertainty and recommendations to executives; and coach analysts on reproducible, responsible methods. The role influences marketing investment, customer targeting, revenue, and enterprise priorities across travel, finance, operations, and customer experience.

Build AI-powered digital twins that simulate customer behavior and decision-making. Lead data science and AI initiatives involving LLMs, RAG, agentic systems, experimentation, validation, and performance measurement. Apply behavioral science, UX research, and marketing analytics to develop human-centered models. Partner cross-functionally to translate business problems into scalable solutions, communicate recommendations, and mentor junior team members.

As a Data Scientist II, you will own data science projects, drive analytical work, and collaborate on impactful solutions in insurance data analytics.