Data Science Manager, Product Analytics

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Bumble is looking for a data science manager to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable.

At Bumble, analytics functions as a core driver of business impact alongside engineering, product, and operations. We constantly seek opportunities, provide actionable insights, and navigate trade-offs.

The ideal candidate combines strong business acumen with a passion for building products customers love, recognising the role safety plays in our customer experience and a desire to continuously develop their management and data science craft.

WHAT YOU WILL BE DOING

• Serve a group of data scientists & product analysts as manager through hiring, coaching, mentoring, and career development
• At Bumble safety is integral to the customer experience, this role will manage analysts/data scientists focused on both product and safety
• Immersed in the details, helping guide and upskilling the team
• Build cohesive, high-functioning cross-functional teams that thrive in a culture of trust, respect and kindness
• Ensure your teams are consistently and iteratively delivering high-impact, high-quality work by continuously assessing their approach and their process maturity
• Drive analytics projects end-to-end in partnership with Product, Engineering, Safety and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.
• Shape the future of data science within Bumble by defining and executing strategies to attract and retain top talent and push data science competencies forward
• Give leadership to other efforts that fit your passion and Bumble needs in collaboration with managers, scientists and product people across Bumble Tech
• Collaborate with Product Management & Trust & Safety to establish roadmaps and define key metrics aligned to Bumbled strategic objectives

WE'D LOVE TO MEET SOMEONE WITH

• A degree in Mathematics, Data Science or a similar quantitative discipline
• Deep expertise in experimentation and A|B testing
• Demonstrable experience in leading, managing and coaching data science teams
• Passion for developing and growing people
• Excellent communication and collaboration skills. Experience using data to push forward product development
• Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
• Ability to combine business intuition with the application of advanced solutions
• A passion for keeping up with the latest ongoings in Data Science communities
• A curious mind, self-starter and endlessly keen to learn and develop themselves professionally

AN ADDED BONUS IF YOU HAVE

• An understanding of multi-sided markets and/or the dating problem space