Senior Data Scientist

November 6, 2024

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FIS

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FIS is a leading provider of technology solutions for financial institutions, businesses, and governments worldwide. It offers a comprehensive suite of banking, lending, and payment solutions designed to help entities thrive in the digital age. FIS focuses on providing advanced solutions that improve efficiencies, reduce costs, and enhance customer satisfaction by offering services such as digital banking, automated finance, wealth management, and payment processing. With its expertise in fintech, FIS powers the global economy by ensuring secure and efficient money management throughout its lifecycle, from storage and transfer to investment and compliance.

Information Technology

10,000+ employees

Founded 1968

💳 Fintech

💸 Finance

🏦 Banking

📋 Description

• Contribute to all data science aspects of products, ranging from data streams to machine learning, from observability to product strategy • Help build state-of-the-art, robust, efficient, and observable statistical and machine learning models • Develop large-scale data pipelines using off-the-shelf data tools, optimizing for quality and performance • Identify trends, anomalies, and opportunities, providing actionable insights • Clearly communicate findings and insights to data scientists and other cross-functional stakeholders

🎯 Requirements

• Masters in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field • 4+ years of experience in a data science role or similar • Proven experience applying machine learning and statistical modeling techniques to a range of real-world problems • Good programming skills in Python, SQL, with familiarity in coding concepts and version control via git • Excellent communication and cross-functional collaboration skills, thriving in fast-paced environments • Preferred Qualifications: PhD in Statistics, Computer Science, Math, Physics, Economics, Data Science, Engineering, or a similar quantitative field • 6+ years of experience in a data science role or similar • Familiarity with neural network (Keras, TensorFlow, PyTorch) frameworks • Published state-of-the-art research in recognized journals and conference talks • Familiarity with payment networks, banking systems, and fintech software • Familiarity with feature stores, machine learning model governance, model monitoring, A/B testing, and champion/challenger setups • Familiarity with real-time data processing (Kafka, Flink, Azure Stream, Spark), and cloud-based technologies (AWS, Azure, GCP)

🏖️ Benefits

• Opportunities to innovate in fintech • Tools for personal and professional growth • An inclusive and diverse work environment • Resources to invest in your community • Competitive salary and benefits