• Analyze conversion across Medicare beneficiary acquisition funnel • Investigate drop-off points and identify high-conversion sources • Partner with operations to analyze call-center metrics • Examine post-enrollment retention and identify churn drivers • Translate business goals into structured problems and test plans • Build margin and unit-economics models for various metrics • Design scalable experimentation frameworks

Role Description The Data Science Team within Customer Success is highly engaged with our clients, utilizing critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. They also work cross-functionally with other departments (e.g., Research, Product, Marketing) to deliver best-in-class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Your Day to Day: - Understanding the data which our clients provide to us; - Cleaning that data and validating that it is correct; - Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc.; - Iteratively computing features and tuning parameters to improve the quality of the model; - Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; - Working together with key stakeholders (data scientists, engineers, risk managers) from our clients; - Collaborating with other parts of the organization (Product, Research, etc.) to improve processes, best practices, and tooling. Qualifications - MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or related field; - Proficient in Machine Learning (training and testing, avoiding overfit, etc.); - Knowledge of Big Data technologies such as Spark, Hadoop, and related; - Proficiency in bash, Python, and either Java or Scala; - Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); - Knowledge of statistics or data visualization is a plus; - Knowledge of tree-based algorithms (Random Forests, XGBoost, LGBM) is a plus; - Knowledge of Deep Learning algorithms is a plus; - Ability to communicate your findings in a clear way. Benefits - Immersion in our brand with training, connections, and one-on-one time with your manager; - Opportunity to shadow colleagues virtually or onsite; - Access to extensive information about Feedzai and the team; - Collaboration on current projects and work. Company Description Feedzai is the world’s first RiskOps platform for financial risk management, safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date, with a valuation of $2 billion, protecting 1 billion consumers and 90 billion transactions each year.

Role Description The Data Science Team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them. In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. Your Day to Day: - Understanding the data which our clients provide to us; - Cleaning that data and validating that it is correct; - Preprocessing the data, usually by using a mixture of shell scripts and a programming language such as Python, Java, Scala, etc; - Iteratively computing features and tuning parameters to improve the quality of the model; - Communicating your findings to the project manager and assisting him/her in decision making on the Data Science part of the project; - Work together with key stakeholders (data scientists, engineers, risk managers) from our clients; - Work with other parts of the organization (Product, Research, etc.) to improve processes, best practices and tooling. Qualifications - MSc or PhD in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics or related field; - Proficient in Machine Learning (training and testing, avoiding overfit, etc.); - Knowledge of Big Data technologies such as Spark, Hadoop and related; - Proficiency in bash, Python and either Java or Scala; - Knowledge of resource monitoring and runtime optimization (both at JVM and OS level); - Knowledge of statistics or data visualization is a plus; - Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus; - Knowledge of Deep Learning algorithms is a plus; - Ability to communicate your findings in a clear way. Benefits - You will be immersed in our brand with training, connections, and one-on-one time with your manager; - You may shadow your colleagues virtually or onsite at an office depending on where you work; - You will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team; - You will start working on projects and collaborating on work currently being done. Company Description Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

• Lead data management for complex, global clinical trials from study setup to database lock • Serve as the main client contact for all data management deliverables • Oversee SAE, PK, and external data reconciliation and database deployment • Manage timelines, budgets, and resource allocation to meet customer expectations • Mentor junior data management staff and promote best practices • Drive process improvements and ensure regulatory and SOP compliance