Data Scientist III

A client with Kforce is seeking a Data Scientist III to join their team in Mountain View, CA. Summary: In this role, you will support the client's CRM and lifecycle marketing programs. We are seeking a Data Scientist for FY27. This individual will partner with marketing stakeholders to define and measure key business metrics and identify and execute opportunities to improve performance and positively impact business results. Duties:

• Performs business analysis using various techniques, e.g., statistical analysis, explanatory and predictive modeling, and data mining
• Determines best practices and develops actionable insights and recommendations for current business operations
• Works directly with internal or external clients to identify analytical requirements
• Produces ad hoc data analyses and reports
• Assist in implementing or developing systems to capture business operation information
• May occasionally guide less experienced business data analysts
• Bachelor's degree in Business Analytics, Marketing Analytics, Statistics, Computer Science, Economics, or a related quantitative field; Master's degree in Data Analytics, Business Intelligence, or Marketing Analytics is a plus
• Equivalent work experience in data analysis or marketing reporting may be considered in place of formal education
• Segmentation & Personalization: Experience with audience segmentation, customer targeting, personalization strategies, and dynamic content to improve campaign performance
• CRM Performance Metrics: Knowledge of KPIs such as open rate, click-through rate (CTR), click-to-open rate (CTOR), conversion rate, unsubscribe rate, churn, retention, customer lifetime value (LTV), and engagement metrics
• ETL Knowledge: Familiarity with data pipelines and tools (e.g., Superglue, Alteryx, Informatica, dbt, Airflow)
• Statistical Analysis: Understanding of statistical methods, A/B testing, regression analysis, and forecasting
• Customer Journey Analytics: Understanding of customer behavior, funnel analysis, cohort analysis, and journey performance to identify opportunities for improving engagement and retention
• CRM Strategy & Lifecycle Marketing: Understanding of customer lifecycle stages, retention strategies, customer journeys, and lifecycle campaign optimization
• Data Visualization Tools: Expertise in tools like Qlik Sense for building dashboards and reports
• SQL Proficiency: Writing complex queries to extract, join, and transform data from relational databases
• Scripting Languages: Python or R for advanced data analysis and automation (nice-to-have)
• Campaign Measurement & Optimization: Ability to measure, analyze, and optimize CRM campaigns across email, push notifications, SMS, in-app messaging, and other owned channels