Data Scientist

Position

Beezwax is seeking a Marketing Data Scientist who is passionate about using data, AI, and machine learning to optimize consumer marketing experiences for payments & digital cash products. In this role, you will provide actionable insights and build scalable analytical solutions to support marketing strategies across the entire customer lifecycle - from acquisition and engagement to retention and reactivation.

You will collaborate closely with marketing, product, and business stakeholders to evaluate campaign effectiveness, uncover new growth opportunities, and integrate AI-driven models into existing business processes. This role combines deep analytical expertise with creative problem-solving and strong communication skills to drive measurable impact.

Our team culture values speed, curiosity, and collaboration. We iterate quickly, challenge assumptions, and make data-informed decisions that shape our global payments ecosystem.

Duties:

• Analyze marketing and business performance using SQL, Python, and statistical methods to surface actionable insights and inform optimization strategy.
• Design and execute A/B tests, multivariate experiments, and causal inference analyses to measure campaign effectiveness.
• Develop and deploy AI/ML models (e.g., customer segmentation, churn prediction, recommendation systems, marketing optimization) to enhance targeting, personalization, insights discovery, and decision-making.
• Integrate machine learning insights into existing business workflows to enable automation and real-time optimization of marketing programs.
• Partner with marketing leaders as a trusted thought partner, advising on campaign design, measurement frameworks, and data-driven storytelling.
• Communicate insights through clear and visually compelling presentations using Keynote, Tableau, or other visualization tools.
• Collaborate cross-functionally with engineering, product, and finance teams to ensure data accuracy, scalability, and accountability towards business impacts.

Requirements

• 3+ years of experience in data science, marketing analytics, or related quantitative fields applied in a business, preferably Enterprise, context.
• Proven expertise with large, complex datasets and transforming data into actionable business insights.
• Demonstrated ability to understand complex business data end-to-end, from raw data to insight, and communicate findings effectively to both technical and non-technical audiences.
• Proficiency in SQL and Python (including libraries such as pandas, scikit-learn, casualimpact, statsmodels, LLMs packages like GPT, Claude, etc.).
• Strong understanding of AI/ML techniques, including regression, classification, clustering, segmentation, and predictive modeling, deep learning models, and LLMs.
• Experience integrating machine learning outputs into marketing or business processes to drive automation and performance.
• Skilled in experimental design, significance testing, and multivariate analysis.
• Excellent data storytelling and visualization abilities, translating technical findings into clear business recommendations.
• Outstanding verbal and written communication skills; ability to influence and build trust across functions.

Education: 

Advanced degree (Master's or Ph.D.) in Data Science, Statistics, Economics/Econometrics, Computer Science, Marketing Science, Operations Research, Mathematics, or Engineering — completed or in progress.

Benefits

• Competitive compensation
• Healthcare package with vision and dental
• Vacation / PTO
• Retirement plan
• Support for your continued learning and professional development
• Hardware and software
• Office in Cupertino, CA

Salary: $104,000-$156,000 depending on experience.