At a Glance
- Tasks: Lead the development of advanced Customer Lifetime Value models and drive data science roadmaps.
- Company: Join Bumble Inc., a pioneer in fostering kind connections through innovative tech.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborate with cross-functional teams and enhance your skills in a supportive culture.
- Why this job: Make a real impact on customer relationships in a fast-paced, dynamic environment.
- Qualifications: Graduate degree in STEM and 3+ years of experience in data science and machine learning.
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 & CLV Analytics 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 & CLV Analytics
✨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 analytics. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating real interview scenarios with friends or mentors to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our mission.
We think you need these skills to ace Senior Data Scientist, Revenue & CLV Analytics
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 you've done in the past. We want to see how your skills align with our mission at Bumble!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how it can drive commercial impact. Don’t forget to mention why you’re excited about working with us at Bumble and how you can contribute to fostering kind connections.
Showcase Your Projects:If you've worked on any projects related to machine learning or data analytics, make sure to include them! We love seeing real-world applications of your skills, especially if they relate to customer behaviour or revenue generation.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Bumble
✨Know Your CLV Models Inside Out
Make sure you can discuss your experience with Customer Lifetime Value models in detail. Be ready to explain how you've tailored these models to specific business needs, especially in tech environments like dating or social platforms.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked with cross-functional teams in the past. Highlight instances where you’ve successfully communicated complex data insights to stakeholders and senior leaders, as this role requires strong collaboration.
✨Demonstrate Your Technical Proficiency
Brush up on your Python, SQL, and any machine learning tools you’ve used. Be prepared to discuss specific projects where you’ve built and deployed models, and how you’ve navigated the data engineering aspects to optimise databases.
✨Emphasise Your Problem-Solving Approach
Think of examples where you’ve tackled critical business problems using analytics. Show how you take a holistic view of challenges and leverage insights from various sources to drive decision-making and improve outcomes.
