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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Beezwax Datatools, Inc. - **Location:** Cupertino, CA, United States - **Experience:** Experienced - **Salary:** $104,000.0 - $156,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Big Data, Data Transformation, Data Presentation, Data Visualization, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Marketing Information Systems, Raw Data, Recommender Systems, SQL Databases, Tableau (Software), Large Language Models, Deep Learning, Pandas, Scikit Learn, Information Technology, GPT - **Published:** June 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dab786d95c0f6699 ## About the Role Do you have experience in Statistical significance testing?, Do you have a Master's degree?, * 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. ## Description The Marketing Data Scientist sits at the intersection of data, AI, and marketing strategy - partnering with leadership to evaluate campaign effectiveness, uncover growth opportunities, and build scalable analytical solutions for payments & digital cash products., 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Best Coding Boot Camps in Germany](https://www.wearedevelopers.com/magazine/237-best-coding-boot-camps-in-germany) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)