Data Scientist II

A client with Kforce is seeking a Data Scientist II to join their team in San Diego, CA. Duties:

• Performs business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining
• Determines best practices and develops actionable insights and recommendations for the current business operations
• Works directly with the internal or external client to identify analytical requirements
• May help to produce ad hoc data and reports
• May assist in implementing or developing systems to capture business operation information
• May occasionally guide less experienced business data analysts
• BS or MS degree in Statistics, Mathematics, Computer Science, or a related field
• 5+ years of experience in data science or product analytics (preferably in fintech), with a strong foundation in predictive modeling, customer segmentation, and experimentation
• Experience in designing and interpreting complex experiments beyond traditional A/B testing methods
• Experience with Causal inference techniques such as propensity score matching, difference-in-differences, and synthetic control methods
• Experience with Generative AI and other evolving technologies to accelerate insights from multi-modal data
• Demonstrated experience in building reusable and scalable analytics solutions, with a focus on efficiency and avoiding duplication of work
• Outstanding communication skills with the ability to influence decision-makers and build consensus with teams
• Quick learner, adaptable, with the ability to work independently or as part of a team in a fast-paced environment
• Advanced SQL skills and proficiency in visualization tools such as Qlik, Quicksight, Tableau, Plotly Dash
• Strong analytical and modeling skills using Python (for its rich suite of statistical and modeling libraries like NumPy, Pandas, Scikit-learn, etc.)
• Ability to formulate data-backed strategies that will drive step-function growth for the business and increase customer benefit
• Ability to generate hypotheses grounded in customer behavior, industry trends, and external market factors