Bumble Inc.

Lead Data Scientist, Product Analytics

Job description

Inclusion at Bumble Inc.

Bumble Inc. is an equal opportunity employer and we strongly encourage people of colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

Bumble Inc. is seeking an experienced Lead Product Scientist who will work across the product and product science organisation to optimise data collection, tracking, and automation.

You would ideally have an extensive background in product analytics at either a dating, social, gaming or other relevant tech company, with proven experience of driving commercial impact through applying analytics to critical business problems.

You bring experience of working with complex sources of data and use that knowledge to partner with your product, data science, and engineering stakeholders to drive optimised workflows, data infrastructure, and tooling.

You enjoy developing structures, frameworks, and guidance for analysts, stakeholders, and engineers alike to ensure we have a consistent, scalable, and reliable product data asset so that measurement and performance is easily understood across any product initiative. You love mentoring analysts and feel comfortable providing direction in ambiguous settings on best ways to approach understanding impact across product strategy.

You understand the high-level business model of the company and the primary drivers and output metrics to efficiently receive a stakeholder request, draft a project/insights brief and proactively ask for additional scope clarity where necessary.

Remaining laser-focused on the so what of the findings, and how the insights support business decisions you take an integrated perspective to analytics, considers all the potential drivers to a problem, reviewing existing knowledge and bringing in expertise for advice from other teams.

Key Accountabilities

  • You will understand the product landscape and be able to advise on best practices across data engineering, analytics engineering, data science, and reporting.
  • You will train and guide analysts to write event specifications and collaborate with engineering on tracking processes, ensuring tracking is kept to a high standard across all product domains.
  • You will work with engineering to set up robust processes for feature tracking, ensuring data collection optimises for efficiency of data storage and costs.
  • You will ensure product analysts/data scientists have tools which set them up for success in their role. In doing so, you will optimise the functionality of current tools by building functionality on top of existing tools, e.g. reusable code snippets in count and Python packages.
  • You will partner with the analytics engineering team to build robust data solutions for product analysts. You will also partner with data engineering and ETL teams and translate technical requirements into non-technical outcomes and vice versa.
  • You will leverage deep cross-functional knowledge across revenue, product, billing, and finance to ensure the product analytics team has all the data required to answer business questions and provide meaningful insights.
  • You will guide on techniques and ways of working and build a culture of critical thinking, commercial acumen and disciplined execution in alignment with senior management.
  • You will act as a trusted thought partner as the analytical authority in your domain.
  • You will deliver best practices and frameworks for a range of analysts and data scientists across the product analytics team, to help drive consistency of understanding product performance.
  • You will design creative solutions and propose new tooling and methods to reduce friction in the product data flow process.

Required Experience & Skills

  • Preference for a graduate degree in Mathematics, Engineering, Information Sciences, Economics, Finance, or STEM. PhD and Masters welcome.
  • Preference for experience working in similar dating/social/gaming tech product industries or else financial services/high-data-volume industries.
  • You will have had ample experience setting up best practices and standards for experimentation, measurement, and data collection in the product domain.
  • You will have deep experience of the product domain across multiple experiences, tools, and understand the tooling/vendor landscape and opportunities for automation or introduction of genAi.
  • You will have had experience guiding cross-functional teams of analysts with differing analytical capabilities, from more tactical analysis, analytics engineering, to data science and machine learning on product best practice.
  • You have experience working with complex data infrastructures and have experience partnering and guiding the work of data engineering to help facilitate ingestion, warehousing, and optimisation of databases.
  • 5+ years experience in product analytics, rising to senior IC levels.
  • Strong experience with data collection and tracking and the data engineering and data modelling requirements needed to automate reporting and measurement.

About You

  • Strong believer in Bumble Inc.’s brand vision and values
  • Engaging, inspiring and clear communicator. A proven track record of socialising and embedding analytical findings to drive business outcomes, up to exec level.
  • Deep commercial and product understanding, and a proven ability of creating impact through the power of customer led insights.
  • Comfort in operating in ambiguous and complex problem spaces, and helping teams you work with to define the questions that help support the business, and confidence in pushing back and saying no where needed.
  • A love of collaborating with colleagues and stakeholders to arrive at rounded and balanced perspectives in your work, a strong desire to learn from others
  • Commercially minded, with a keen sense of where insights can fuel growth.
  • Strong experience with python/SQL, visualisation tooling such as Looker/Tableau, and machine learning/data science tooling such as Streamlit/Count/Kubeflow.
  • Strong experience with bringing product metrics to the business.
  • Strong governance and data quality mindset.
  • Understands and can demonstrate machine learning and advanced analytical revenue impact in an organisation.

About Us

Bumble Inc. is the parent company of Bumble, Badoo, Fruitz and Official. The Bumble platform enables people to build healthy and equitable relationships, through kind connections. Founded by Whitney Wolfe Herd in 2014, Bumble was one of the first dating apps built with women at the center and connects people across dating (Bumble Date), friendship (Bumble BFF) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Fruitz, founded in 2017, encourages open and honest communication of dating intentions through playful fruit metaphors. Official is an app for couples that promotes open and honest communication between partners and was founded in 2020.

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