Bumble is looking for a Senior Data Scientist to join our Product Analytics team and play a key role in fulfilling our mission of being the # 1 choice for people to find love, friendship, and community around the world.
At Bumble, Advanced Data 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 has extensive experience in Experimentation and Applied Statistics. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft.
WHAT YOU WILL BE DOING:
Proactively identify opportunities and contribute insights that influence decision-making. Design metrics to provide structure and clarity for product and business teams. Help evaluate trade-offs and measure the success of product efforts. Build and develop data products that drive clarity in understanding our members. Act as a subject matter expert in Experimentation and Causal Inference. Influence leadership to drive more data-informed decisions, bringing a holistic view of the health of our ecosystem. Continuously push and adopt best practices across the advanced data analytics team. WHO YOU ARE: You have worked on digital consumer products before. You have experience with a wide range of analytical approaches, methodologies, and frameworks. You possess excellent communication and collaboration skills, with experience using data to push forward product development. You can work collaboratively and proactively in a fast-paced environment alongside scientists, engineers, and non-technical stakeholders. You are dedicated and committed to developing your craft. You have a deep understanding of advanced SQL techniques, Python, and data modeling. You have deep expertise in experimentation, A/B testing, and causal inference. (Bonus points) You have an understanding of multi-sided marketplaces or the dating problem space.
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At Bumble, Advanced Data 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 has extensive experience in Experimentation and Applied Statistics. They combine strong business acumen with a passion for building products customers love and a continuous desire to develop their craft.
WHAT YOU WILL BE DOING:
Proactively identify opportunities and contribute insights that influence decision-making. Design metrics to provide structure and clarity for product and business teams. Help evaluate trade-offs and measure the success of product efforts. Build and develop data products that drive clarity in understanding our members. Act as a subject matter expert in Experimentation and Causal Inference. Influence leadership to drive more data-informed decisions, bringing a holistic view of the health of our ecosystem. Continuously push and adopt best practices across the advanced data analytics team. WHO YOU ARE: You have worked on digital consumer products before. You have experience with a wide range of analytical approaches, methodologies, and frameworks. You possess excellent communication and collaboration skills, with experience using data to push forward product development. You can work collaboratively and proactively in a fast-paced environment alongside scientists, engineers, and non-technical stakeholders. You are dedicated and committed to developing your craft. You have a deep understanding of advanced SQL techniques, Python, and data modeling. You have deep expertise in experimentation, A/B testing, and causal inference. (Bonus points) You have an understanding of multi-sided marketplaces or the dating problem space.
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