[Hiring] Senior Data Scientist @Feedzai

Role Description

At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.

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.

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);
• Superior oral, presentation, and written communication skills;
• Fraud & Digital business domain experience (preferable);
• Customer facing experience is a plus;
• Knowledge of statistics or data visualization is a plus;
• Knowledge of tree based algorithms (Random Forests, XGBoost, LGBM) is a plus;

Benefits

• Your First 30-Days at Feedzai: 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 as you are supported through your Feedzai journey.
• 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.
• Finally, you will start working on projects and collaborating on work currently being done.

Company Description

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at Feedzai Candidate Privacy Policy and Feedzai California Candidates Privacy Policy for more information on how we process your personal data.