At a Glance
- Tasks: Lead the development of advanced Customer Lifetime Value models and drive data science roadmaps.
- Company: Bumble Inc., a pioneer in fostering kind connections through innovative dating and social platforms.
- Benefits: Inclusive workplace, flexible working options, and opportunities for professional growth.
- Other info: Join a diverse team committed to building healthy relationships and empowering individuals.
- Why this job: Make a real impact on customer insights and revenue generation in a fast-paced tech 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.
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 (FTC) employer: Bumble
Bumble Inc. is an exceptional employer that champions diversity and inclusion, creating a supportive work environment where every voice is valued. As a Senior Data Scientist, you'll thrive in a dynamic culture that encourages innovation and collaboration, with ample opportunities for professional growth and development. Located in a vibrant tech hub, Bumble offers unique advantages such as flexible working arrangements and a commitment to fostering kind connections, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist, Revenue (FTC)
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your experience with CLV models. We want to see how you can apply your skills to real-world problems!
✨Tip Number 3
Don’t forget to follow up after interviews! A quick thank-you email can keep you fresh in their minds and show your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior Data Scientist, Revenue (FTC)
Some tips for your application 🫡
Show Your Passion:When writing your application, let us see your enthusiasm for data science and how it aligns with Bumble's mission. Share specific examples of how you've used data to drive impact in previous roles, especially in tech or similar industries.
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight relevant experience with CLV models, machine learning, and any tools mentioned in the job description. We want to see how your skills fit perfectly with what we're looking for!
Be Authentic:Don’t shy away from sharing your pronouns and any adjustments you might need during the process. We value authenticity and want to create a comfortable environment for everyone applying, so just be yourself!
Apply Through Our Website:For the best chance of success, make sure to apply through our official website. This way, your application goes directly to us, and we can review it promptly. Plus, it’s super easy to do!
How to prepare for a job interview at Bumble
✨Know Your CLV Models
Make sure you understand Customer Lifetime Value (CLV) models inside out. Be ready to discuss how you've developed or applied these models in previous roles, especially in tech environments similar to Bumble's. Highlight any specific techniques or tools you've used that align with the job description.
✨Showcase Your Collaboration Skills
Bumble values teamwork, so be prepared to share examples of how you've worked with cross-functional teams. Discuss how you've communicated complex data insights to stakeholders and how your contributions have driven business decisions. This will demonstrate your ability to fit into their collaborative culture.
✨Prepare for Technical Questions
Brush up on your technical skills, particularly in Python, SQL, and machine learning tools like Kubeflow or Streamlit. Expect questions that test your knowledge of the ML lifecycle and data engineering principles. Practising coding problems or case studies can help you feel more confident.
✨Emphasise Your Problem-Solving Approach
Be ready to discuss how you tackle complex business problems using data. Share specific examples where your analytical skills led to actionable insights or improvements. This will show Bumble that you can think critically and contribute to their mission of fostering kind connections.
