Data Scientist

Who you are

You have a strong background in data science with experience in developing and deploying machine learning models — your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively. You understand the importance of data integrity and have a keen eye for detecting anomalies that could indicate fraud. Your analytical skills enable you to uncover insights from behavioral data, helping to shape strategies for fraud prevention.

You thrive in collaborative environments, working closely with cross-functional teams to deliver data-driven decisions that protect users and the business. You are comfortable with experimentation and understand how to design robust data pipelines that support real-time analytics. Your passion for democratizing finance aligns with Robinhood's mission, and you are eager to contribute to a team that values inclusion and diverse perspectives.

Desirable

Experience with real-time data processing and fraud detection systems is a plus. Familiarity with cloud platforms such as AWS or GCP can enhance your contributions to the team. You may also have knowledge of data governance practices and compliance requirements, which are critical in the financial sector.

What you'll do

In this role, you will design and deploy fraud detection models that protect users and assets in real time. You will analyze behavioral data to uncover emerging fraud vectors and support rapid incident response, ensuring that our platform remains secure and trustworthy. Your work will involve collaborating with engineers and product managers to integrate machine learning features into our data products.

You will be responsible for developing robust data pipelines that facilitate the flow of information across the organization. This includes ensuring data quality and governance, as well as conducting experiments to validate the effectiveness of your models. Your insights will drive proactive measures to mitigate risks and enhance user experiences on the platform.

You will also participate in regular team meetings to discuss findings, share knowledge, and contribute to the overall strategy of the Data Intelligence sub-team. Your role is pivotal in shaping the future of fraud prevention at Robinhood, and you will have the opportunity to influence key decisions that impact our users.

What we offer

At Robinhood, we provide a supportive work environment that encourages professional growth and development. You will have access to resources and training that will help you enhance your skills and advance your career in data science. We believe in the importance of work-life balance and offer flexible working arrangements to accommodate your needs.

Our team is committed to fostering an inclusive culture where diverse backgrounds and perspectives are valued. You will be part of a mission-driven organization that is dedicated to democratizing finance and making a positive impact on the lives of our users. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be exactly what we need to drive innovation.

Join us at Robinhood and be part of a team that is shaping the future of finance through data-driven insights and cutting-edge technology.