Computer Science Marketing Jobs in California (NOW HIRING)

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.

• 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.

• 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.

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.

• 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.

Beez contribute in all the ways they want and can. Beezwax is committed to professional growth, and encourages Beez to develop new ways to contribute.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Looking forward to hearing from you!