“NOTE: If selected for this position, you are required to perform ALL work onsite, based on the client’s specified hybrid work schedule (currently onsite 3 days a week: Tuesday, Wednesday and Thursday).”
Data Scientist for Austin, TX for a 12-month Contract with possible extensions.
Responsibilities:
• Analyze transaction data, user behavior, and system logs to identify opportunities for
improving the Wallets & Payments ecosystem.
• Build and maintain predictive models to detect fraud, optimize transaction flows, and enhance
user engagement.
• Collaborate with product managers, engineers, and design teams to translate data insights
into actionable recommendations.
• Develop dashboards and reports to communicate findings effectively to stakeholders.
• Conduct A/B testing and analyze results to inform product and feature development.
• Ensure data quality and integrity across various data sources.
Required Skills:
• 8+ years’ experience as a Data Scientist
• Must have experience in fintech, payments, or digital wallets.
• Strong proficiency in SQL, Python, Tableau, R, or similar data analysis tools.
• Experience building and maintaining predictive models
• Experience with statistical modeling, machine learning, and data visualization.
• Experience developing dashboards and reports.
• Experience conducting A/B testing and analyzing results.
• Familiarity with payment systems, fraud detection, and related regulatory considerations.
• Excellent problem-solving skills and ability to work in a fast-paced environment.
• Strong communication skills to present complex insights clearly.
Preferred Skills:
• Experience with big data tools (Spark, Hadoop, etc.)
• Knowledge of privacy and security standards related to payments data.
• Prior experience working in a cross-functional team in a product-focused environment.
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