Senior Data Scientist, Customer Analytics

Job Description

This job posting has expired and no longer accepting applications.

Bumble Inc. is seeking a Senior Data Scientist to lead our efforts in developing sophisticated Customer and Marketing Measurement models, tailored specifically for our unique ecosystem. This is a unique opportunity for an experienced MLE/DS who enjoys the fast-paced environment of a growing company, has experience in tech analytics and has a passion to contribute to helping the Bumble Inc. mission to foster kind connections.

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

In this role, you will collaborate closely with cross-functional teams to harness the power of data and analytics in unlocking key insights into marketing effectiveness and revenue generation. Your primary focus will be on developing advanced marketing measurement frameworks, including Media Mix Models (MMM) and incrementality testing, to optimize our investment across acquisition, retention, and monetization strategies.

You bring experience working with complex sources of revenue, spend and behavioral data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to measurement and optimization. You are comfortable challenging priorities and clearly communicating analytical roadmaps. You’re able to effectively balance demands for both tactical and strategic work and also have experience managing projects across analytics engineering, data science, and MLOps.

Key Accountabilities:

Lead the development of advanced marketing measurement models, including Media Mix Models (MMM) and incrementality testing, to assess the impact of marketing investments and optimize budget allocation.

Collaborate closely with stakeholders and senior leaders to identify key business problems, challenge priorities, and provide actionable insights derived from marketing effectiveness analysis.

Guide others on techniques and ways of working and help build a culture of critical thinking, commercial acumen, and disciplined execution in alignment with senior management.

Drive data science roadmaps by efficiently producing insights that inform decision-making, supporting an extensive experimentation program, and advocating for continual improvement within the team.

Take an integrated perspective to analytics, considering all potential drivers of performance, leveraging expertise from other teams, and synthesizing findings from different measurement approaches.

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 high-data-volume industries such as financial services.

Proven experience in building and deploying ML and statistical models for marketing measurement.

5+ years of experience with Python/SQL, machine learning/data science tooling such as Kubeflow/Streamlit, and visualization tooling such as Looker/Tableau.

Strong understanding of machine learning applications development life cycle processes and tools: CI/CD, version control (Git), testing frameworks, MLOps, agile methodologies, monitoring, and alerting.

Experience working with complex data infrastructures and partnering with data engineering teams to facilitate data ingestion, warehousing, and optimization for marketing measurement.

Strong experience with data engineering and data modeling requirements needed to automate reporting and marketing performance measurement.

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