Data Scientist Job Cupertino area,California USA,IT/Tech

The Wallets, Payment and Commerce Analytics team is looking for a talented, passionate, and results-oriented individual to join our team and provide data-driven insights to help optimize and improve our payment services. The Marketing Data Scientist will play a key role in improving the payments marketing experience. You will engage with the marketing team through the entire customer lifecycle of acquiring, developing, deepening, retaining, and reactivating.
Use your analytics expertise to uncover new opportunities and improve existing programs. You will be a thought partner to the marketing team, understand their goals, and use your analytics skills to surface actionable insights supporting these goals. Our culture is about getting things done iteratively and rapidly, with open feedback and debates. We believe analytics is a team sport but strive for independent decision-making and taking smart risks.
Our ideal candidate is a Data Scientist with the technical prowess to analyze campaigns and the strategic insight to generate actionable recommendations. This individual will be instrumental in translating complex data into clear, actionable marketing insights.

Key Responsibilities

Leverage SQL and Python to analyze marketing and business data to identify key insights and opportunities for the business.
Perform diagnostic analyses, including multivariate testing and causal inference analyses, to quantify marketing campaign performance and measure campaign lift.
Be a thought leader to marketing stakeholders and provide recommendations on campaign design and scalable measurement plans.
Use Keynote and/or Tableau to visualize insights and deliver results in business presentations.
Build and maintain positive relationships with key partners across the company to successfully deliver actionable insights.

Qualifications

3+ years of experience in Data Science with a focus on marketing analytics and/or financial products.
Direct experience in the payments industry or with credit card products is highly preferred.
Proven track record in email campaign measurement and optimization.
Solid experience in large, complex, and fragmented datasets.
Strong ability to transform data into digestible insights.
Strong proficiency with SQL, Python, and Tableau.
Experience with experimental design, statistical significance sizing, and bivariate and multivariate analysis.
Experience with standard data science analysis, regression modeling, causal inference, clustering, and segmentation.
Strong storytelling capabilities with a curious business mindset that can distill complex concepts and analyses into clear, concise takeaways that drive action.
Demonstrate exceptional verbal and written communication skills; build and maintain positive relationships with stakeholders.

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