Associate Data Scientist, Customer Analytics

Bumble Inc. is seeking a Data Scientist to contribute to our efforts in developing sophisticated customer 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 customer behavior and revenue generation. Your primary focus will be on developing advanced models that account for the intricacies of our two-sided marketplace, enabling us to optimize customer acquisition, retention, and monetization strategies.

You bring experience of working with complex sources of revenue, payments and behavioural data and use that knowledge to partner with stakeholders and senior leaders, taking a holistic approach to find answers. You are comfortable challenging priorities and clearly communicating analytical roadmaps. You have experience managing projects across analytics engineering, data science and MLOps. 

• Contribute to the continuous development of advanced customer models tailored to the unique dynamics of our two-sided marketplace, leveraging complex sources of revenue, payments, and behavioral data
• Collaborate closely with stakeholders and senior leaders to identify key business problems, challenge priorities, and provide actionable insights
• 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 to a problem, reviewing existing knowledge, and leveraging expertise from other teams to enhance the effectiveness of customer modelling efforts
  

• 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. 
• Proven experience in building and deploying ML and statistical models for demand forecasting, segmentation, and CLV estimation
• 3+ years of experience with python/SQL, machine learning/data science tooling such as Kubeflow/Streamlit and visualisation tooling such as Looker/Tableau. 
• You have 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
• 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.  
• Strong experience with data engineering and data modelling requirements needed to automate reporting and measurement