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 enjoy a culture of critical thinking and innovation.
- 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.
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.
- 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.
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.
Senior Data Scientist, Revenue & CLV Analytics in London employer: Bumble
At Bumble, we pride ourselves on being an exceptional employer that fosters a vibrant and inclusive work culture. Our team thrives on creativity and collaboration, offering ample opportunities for professional growth in the rapidly evolving field of AI and Machine Learning. Located in a dynamic environment, we empower our employees to innovate and make a meaningful impact on how people connect, all while enjoying the benefits of a supportive and agile workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Revenue & CLV Analytics in London
✨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 brushing up on your technical skills and understanding Bumble's mission. Be ready to discuss how your experience aligns with their goals and how you can contribute.
✨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 & CLV Analytics in London
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 include them! We love seeing real-world applications of your skills, especially those that drove commercial impact.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Bumble
✨Know Your CLV Models Inside Out
Make sure you can discuss various Customer Lifetime Value models and how they apply to different business scenarios. Be ready to explain your thought process in developing these models, especially in relation to a two-sided marketplace like Bumble's.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python, SQL, and any machine learning tools you've used. Bring examples of past projects where you successfully built and deployed models, and be ready to discuss the challenges you faced and how you overcame them.
✨Understand the Business Impact
Be prepared to talk about how your analytical insights have driven commercial impact in previous roles. Think of specific examples where your work influenced decision-making or improved customer acquisition and retention strategies.
✨Collaborate and Communicate Effectively
Since this role involves working closely with cross-functional teams, practice articulating your ideas clearly. Prepare to discuss how you've collaborated with stakeholders in the past and how you can challenge priorities while maintaining a focus on the bigger picture.
