Data Scientist, Trust & Safety

As a Data Scientist at Bumble, you'll engage in analyzing large datasets, developing statistical models, and partnering with cross-functional teams, particularly in Safety Product Management. Your work will involve setting key metrics, conducting large-scale experiments, and identifying areas for algorithmic improvements, ultimately aligning with Bumble's mission to foster safe connections.

To qualify for the Data Scientist role at Bumble, you should have a strong background in statistical modeling, experience with Python data science libraries, and significant SQL proficiency. Additionally, familiarity with trust and safety in online environments will enhance your candidacy. A passion for data science and an eagerness to collaborate in a dynamic team environment are also essential.

The culture within Bumble's Trust & Safety team is one of collaboration, empathy, and a commitment to diversity. As part of a cross-functional group, you'll work closely with engineers and fellow data scientists to promote healthy and safe digital experiences, all while nurturing a supportive environment where every team member's voice is valued.

Absolutely! At Bumble, we prioritize the professional development of our Data Scientists. The role encourages continuous learning, and you’ll have the chance to engage in innovative projects and participate in the development of cutting-edge trust and safety technologies. Joining Bumble opens the door to numerous growth opportunities within a vibrant and collaborative environment.

Bumble offers a competitive compensation package ranging from $135,000 to $188,000, alongside benefits including medical, dental, and vision coverage, a 401(k) match, and an unlimited paid time off policy. We emphasize the well-being and work-life balance of our employees, creating an inclusive environment where everyone can thrive.

In your response, emphasize your familiarity with various statistical models you've worked with, including regression analysis, hypothesis testing, and any advanced techniques. Illustrate your experience with real-world applications showing how you've utilized these models to drive insights and decision-making.

Share a specific example of a complex data issue you've addressed, detailing the problem, your analytical approach, and the outcome. Highlight your problem-solving skills and the techniques you employed, ensuring to connect this experience back to the responsibilities of the Data Scientist role at Bumble.

Discuss your strategies for visualizing data and using storytelling to present insights effectively. Mention any tools or techniques you utilize to ensure clarity, emphasizing your ability to bridge the gap between technical and non-technical audiences, which is important for collaboration at Bumble.

Talk about any machine learning projects you've been involved in, detailing the algorithms used and the results achieved. Emphasize your understanding of the machine learning lifecycle and how these experiences relate to Bumble’s goals in enhancing user safety and engagement.

Explain your approach to data cleaning and validation processes. Highlight techniques you apply for ensuring accuracy and integrity of the data while discussing any tools or frameworks you have used to maintain quality across projects effectively.

Share the resources you utilize to keep up with the ever-evolving landscape of Data Science, such as attending conferences, participating in online courses, or engaging with communities. This demonstrates your passion for continuous learning, essential for a role at Bumble.

Answer by discussing the critical aspect of user trust in online interactions and how effective trust and safety measures can enhance overall user satisfaction and engagement. Relate this back to Bumble’s mission and how your work would contribute to achieving it.

Describe your methodology for initiating and executing experiments, including defining hypotheses, designing experiments, and analyzing results. Connect your process to measures of success in product development that Bumble aims to achieve through its data initiatives.

Detail your proficiency with SQL, providing examples of how you have used it for data manipulation, performance tuning, and building complex queries. Highlight your capabilities in transforming raw data into actionable insights, which is crucial for a Data Scientist at Bumble.

Express your enthusiasm for Bumble’s mission and how your background aligns with the company values and objectives. Discuss your passion for using data science to foster a safe and inclusive environment while helping users find meaningful connections.