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 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 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 - Contractor 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 - Contractor 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 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 our team.
We think you need these skills to ace Senior Data Scientist, Revenue - Contractor in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Scientist role. Highlight your experience in developing CLV models and working with complex data sources, as this is key for us at Bumble.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data science and how you can contribute to our mission of fostering kind connections. Share specific examples of your past work that demonstrate your analytical prowess.
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python, SQL, and any machine learning tools you've used. We want to see how you’ve applied these skills in real-world scenarios, especially in tech analytics.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
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 previous experiences with CLV modelling and how you've used data to drive commercial impact.
✨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 projects where you’ve built and deployed ML models, as this will demonstrate your hands-on experience.
✨Prepare for Cross-Functional Collaboration
Since the role involves working closely with stakeholders and senior leaders, think of examples where you’ve successfully collaborated across teams. Highlight how you’ve communicated complex analytical insights in a way that influenced decision-making.
✨Emphasise Your Problem-Solving Approach
Be ready to discuss how you tackle business problems using data. Prepare to explain your thought process when faced with challenges, and how you balance tactical and strategic work to deliver actionable insights.
