Data Scientist III

DescriptionJob TitleData Scientist 3LocationRemote (Preferred: West Coast time zone)Position DescriptionSeeking an experienced Data Scientist to support the CRM Lifecycle Marketing and Analytics team. The role partners closely with marketing stakeholders to drive data-informed decision-making through statistical analysis, experimentation, predictive modeling, reporting, and performance measurement.Roles ResponsibilitiesPartner with CRM lifecycle marketing stakeholders to support day-to-day analytics needs.Analyze business performance using descriptive, exploratory, and statistical analysis.Develop predictive models and perform data mining to generate business insights.Design, execute, and evaluate A/B tests and experimentation frameworks.Define success metrics, experimental design, measurement plans, and recommendations.Build, maintain, and enhance reporting solutions and self-service dashboards.Support AI-assisted reporting initiatives through plugins and analytics capabilities.Create data visualizations and present insights to technical and non-technical audiences.Collaborate with stakeholders to optimize CRM campaigns and lifecycle marketing performance.SkillsBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.7-10 years of overall professional experience.Strong SQL skills.Proficiency in Python.Experience with statistical analysis, regression modeling, predictive analytics, data mining, and experimentation.Experience with CRM or lifecycle marketing analytics.Knowledge of CRM strategy, lifecycle marketing, customer segmentation, personalization, campaign measurement, and optimization.Strong communication and stakeholder management skills.Master's degree in a related quantitative discipline (Preferred).Experience in technology companies or fast-paced environments (Preferred).Familiarity with AI-assisted analytics/reporting tools (Preferred).Experience with Cursor or similar AI development tools (Preferred).Experience with cloud-based analytics environments (Preferred).Experience optimizing dashboards and analytics workflows (Preferred).Exposure to data pipeline optimization (Preferred).Required technical skills: SQL, Python, Statistical analysis, A/B testing and experimentation, Data visualization, Data storytelling.Preferred technical skills: R, Predictive modeling, Regression analysis, Data mining, AI-assisted reporting.BI & Analytics Tools: Qlik Sense, Tableau, Looker, Equivalent BI/dashboarding platforms.CRM Platforms: Braze, Comparable Email Service Provider (ESP) platforms.EducationBachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.Master's degree in a related quantitative discipline (Preferred).