About this role
The Customer Success data science team at Feedzai builds trusted AI solutions designed to detect and prevent financial crime, fraud, and money laundering at scale for major global financial institutions.
In this role, the incoming professional will operate on the frontline of risk prevention, working directly with clients to activate, maintain, and support advanced security architectures. Responsibilities include cleaning and preprocessing large client datasets, iteratively developing and tuning predictive models, and communicating analytical findings to project managers and external stakeholders.
Candidates who thrive here combine technical proficiency in machine learning and big data tooling with a strong customer-facing aptitude and business-focused mindset. This position suits individuals who enjoy collaborating across global departments such as research and product to deliver robust security frameworks that safeguard billions of transactions annually.
What you will do
- Analyze, clean, and validate complex client-provided datasets to ensure data integrity.
- Preprocess data utilizing a combination of shell scripts and programming languages like Python, Java, or Scala.
- Compute features iteratively and tune model parameters to enhance predictive quality.
- Communicate analytical findings directly to project managers to guide project decision-making.
- Collaborate with key technical and risk management stakeholders across client organizations.
- Partner internally with product and research departments to refine internal processes, best practices, and tooling.
What you need
- Hold an MSc or PhD degree in Computer Science, Electrical Engineering, Statistics, Applied Mathematics, Physics, or a closely related discipline.
- Demonstrate proficiency in machine learning concepts, including model training, testing, and techniques to prevent overfitting.
- Possess hands-on knowledge of big data technologies such as Spark and Hadoop.
- Show proficiency in bash scripting, Python, and either Java or Scala.
- Understand resource monitoring and runtime optimization at both the JVM and OS levels.
- Exhibit superior oral, presentation, and written communication skills.
Nice to have
- Fraud and digital business domain experience
- Customer facing experience
- Knowledge of statistics or data visualization
- Knowledge of tree based algorithms including Random Forests, XGBoost, and LGBM
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
The job listing includes remote tags, indicating remote work arrangements are supported alongside options for office access depending on location.
What kind of team will I be working with?
You will join the Data Science Team within Customer Success, which engages closely with clients and collaborates cross-functionally with research, product, and marketing departments globally.
What can I expect during the initial onboarding period?
Your first 30 days involve immersion in the brand with training, connections, and one-on-one time with your manager. You will also shadow colleagues, review historical context, and begin collaborating on ongoing projects.