Staff Data Scientist – Payments

🕒 June 18

🏄 California – Remote

🏄 California – Remote

💵 $195k - $257.5k / year

⏰ Full Time

🔴 Lead

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 25%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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📋 Description

• Partner with the Payments team to design and develop foundational datasets, metrics, and analytical frameworks • Analyze customer behavior, product adoption, and transaction activity to improve payment experiences and drive business growth • Research onchain payments ecosystems, blockchain transaction data, and competitive payment solutions • Lead strategic analyses identifying opportunities for product innovation, operational efficiency, and revenue growth • Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and business intelligence tools • Communicate analytical findings through visualizations and data storytelling for technical and non-technical stakeholders • Influence product and business strategy through cross-functional partnership with Product, Engineering, Operations, and Business leaders

🎯 Requirements

• 10+ years of experience in Data Science, Analytics, Economics, Statistics, or a related quantitative field • Advanced proficiency in SQL and at least one programming language such as Python or R • Deep expertise in statistical modeling, experimentation, causal inference, and quantitative methods • Proven track record of independently leading large-scale analytical and data science initiatives from ambiguous problem statements to measurable business outcomes • Strong experience influencing product strategy, business decisions, and senior stakeholders through data-driven recommendations • Experience building scalable data products, analytical frameworks, and self-service capabilities that drive organizational leverage • Excellent analytical and problem-solving skills with strong attention to detail and data quality • Deep experience working with payments products, payment networks, fintech, or financial services platforms • Experience analyzing blockchain datasets, onchain transaction activity, and public ledger data

🏖️ Benefits

• Flexible work environment • Inclusive financial future and equal opportunity employment • Interview accommodations and assistance for disabilities

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