Data Scientist III

Description Job Title Data Scientist 3 Location Remote (Preferred: West Coast time zone) Position Description Seeking 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 Responsibilities

• Partner 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.

Skills

• Bachelor'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.

Education

• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related quantitative field.
• Master's degree in a related quantitative discipline (Preferred). ASK Consulting LLC