Data Scientist

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.

Benefits

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

Pay

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

Schedule

Hybrid schedule in Cupertino, CA.