At a Glance
- Tasks: Lead the development of advanced Customer Lifetime Value models and drive data science roadmaps.
- Company: Join Bumble Inc., a leader in fostering kind connections through innovative tech.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on critical thinking and continuous improvement.
- Why this job: Make a real impact on customer insights and revenue generation in a fast-paced environment.
- Qualifications: Graduate degree preferred; experience in data science and ML model deployment required.
The predicted salary is between 60000 - 80000 £ per year.
Bumble Inc. is seeking a Senior Data Scientist to lead our efforts in developing sophisticated Customer Lifetime Value (CLV) 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 CLV 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’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 CLV 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 derived from CLV modeling.
- 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 to a problem, reviewing existing knowledge, and leveraging expertise from other teams to enhance the effectiveness of CLV modeling 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.
Senior Data Scientist, Revenue - Contractor employer: Bumble
Bumble Inc. is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. As a Senior Data Scientist, you will have the opportunity to lead impactful projects in a fast-paced environment, while benefiting from professional growth opportunities and a commitment to employee well-being. Located in a vibrant tech hub, Bumble offers unique advantages such as access to cutting-edge technology and a mission-driven approach that empowers you to make a meaningful difference in the world of connections.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Revenue - Contractor
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to CLV models or similar analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company’s mission. Be ready to discuss how your experience aligns with Bumble's goals of fostering kind connections.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Senior Data Scientist, Revenue - Contractor
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Scientist. Highlight your experience with CLV models and any relevant tech analytics work you've done. We want to see how your background fits into our unique ecosystem!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how it aligns with Bumble's mission. Let us know why you're excited about this opportunity and how you can contribute to fostering kind connections.
Showcase Your Projects:If you've worked on projects involving machine learning or complex data infrastructures, make sure to mention them! We love seeing real-world applications of your skills, especially those that drove commercial impact.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about Bumble and our values.
How to prepare for a job interview at Bumble
✨Know Your CLV Models Inside Out
Make sure you’re well-versed in Customer Lifetime Value models, especially how they apply to two-sided marketplaces. Be ready to discuss your past experiences with CLV modelling and how you've driven commercial impact through analytics.
✨Showcase Your Technical Skills
Brush up on your Python, SQL, and any machine learning tools you’ve used, like Kubeflow or Streamlit. Be prepared to share specific examples of how you’ve built and deployed models, and how you’ve tackled complex data infrastructures.
✨Prepare for Cross-Functional Collaboration
Since this role involves working closely with stakeholders and senior leaders, think about how you can demonstrate your ability to communicate analytical insights effectively. Have examples ready where you’ve challenged priorities and provided actionable recommendations.
✨Emphasise Your Project Management Experience
Highlight your experience managing projects across analytics engineering, data science, and MLOps. Discuss how you balance tactical and strategic work, and be ready to talk about your approach to driving data science roadmaps and supporting experimentation.
