Data Scientist

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners to help them grow.

Meet Nuvei, the Canadian fintech company accelerating the business of clients around the world. Nuvei's modular, flexible and scalable technology allows leading companies to accept next-gen payments, offer all payout options and benefit from card issuing, banking, risk and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 50 markets, 150 currencies and 700 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally with one integration.

At Nuvei, we live our core values, and we thrive on solving complex problems. We're dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey!

Your Mission

Nuvei is seeking an experienced and visionary Data Scientist to join our dynamic technology organization. The successful candidate will be a part of a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, and a passion for continuous learning and development.

Responsibilities

• Gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) are used to enhance predictive accuracy and model robustness.
• Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs), to create innovative solutions for Nuvei's products and services.
• Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
• Establish best practices for model development, validation, deployment, and monitoring in production environments.
• Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
• Communicate project progress, insights, and results to stakeholders at all levels of the organization. Design, implement, and optimize classic machine learning models to solve complex business problems.
  
  

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, Data Science, or related field; a PhD is an advantage.
• 5+ years of experience in data science roles.
• Proven expertise in classic machine learning algorithms and techniques, including regression, classification, clustering, and feature engineering.
• Extensive hands-on experience with gradient boosting frameworks such as XGBoost, LightGBM, and CatBoost.
• Demonstrated success in designing, deploying, and scaling Generative AI applications (e.g., LLMs) in real-world scenarios.
• Strong programming skills in Python and proficiency with data science libraries (scikit-learn, pandas, NumPy, TensorFlow, PyTorch).
• Experience with cloud platforms (AWS, Azure) and MLOps tools for model deployment and monitoring in production.
• Knowledge and experience in Databricks and Spark.
• Ability to thrive in a fast-paced, collaborative, and innovative environment.
• Experience in handling big data of billions of observations.
  
  

• Knowledge of data engineering and pipeline development.
• Prior experience in fintech or the payments industry is a plus.
  
  

• Private Medical Insurance
• Office and home hybrid working
• Global bonus plan
• Volunteering programs
• Prime location office close to Tel Aviv train station