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- Tasks: Join a cross-functional team to develop data-driven strategies and improve user experiences.
- Company: Bumble is on a mission to create healthy and equitable relationships through innovative tech.
- Benefits: Collaborate with passionate professionals and present at top conferences while working with cutting-edge AI.
- Why this job: Make a real impact in helping people find love using advanced data science techniques.
- Qualifications: Degree in a quantitative field, strong statistical modeling skills, and proficiency in Python and SQL.
- Other info: Bonus points for experience in multi-sided markets and machine learning model delivery.
The predicted salary is between 43200 - 72000 £ per year.
This job is brought to you by Jobs/Redefined, the UK’s leading over-50s age inclusive jobs board.
Bumble is looking for a Senior Data Scientist to join our team and play a key role in fulfilling our mission to create a world where all relationships are healthy and equitable. Concretely, this means exploring our large datasets, developing statistical models and designing data-driven strategies for products that provide a safe and engaging experience for our users, and improve the way Bumble operates.
With millions of images and messages exchanged on our platform every day, there is a wealth of opportunity to make a real difference in this role and help people find love all over the world! The ideal candidate combines strong business acumen, extensive experience in data science and advanced analytics along with a passion for tech.
THE RECOMMENDATIONS TEAM
We are part of the cross-functional Recommendations group at Bumble Inc., a team of passionate engineers, scientists, and machine learning professionals who focus on designing and building products that power our mission of “creating a world where all relationships are healthy and equitable, through Kind Connections.” We partner with wider business stakeholders, Product, and other Engineering teams to build state-of-the-art recommendation systems for our portfolio of apps, including Bumble, Badoo, BFF, and Fruitz. We are passionate about improving the experience of our members through leveraging AI and Machine Learning in our products.
WHAT YOU WILL BE DOING
- Work in a cross-functional team alongside machine learning scientists and machine learning engineers
- Work out where the most value is and help set up frameworks for evaluating algorithmic improvements
- Set up and conduct large-scale experiments to test hypotheses and drive product development
- Assess impact of algorithm changes on marketplace dynamics
- Partner with business functions and engineering teams to help frame problems into scalable AI solutions and solve key problems by leveraging the large and complex datasets at our disposal
- Collaborate with Product Management to establish roadmaps and define key metrics to optimise for alignment with Bumble’s strategic objectives
- Drive a culture of insightful storytelling across the business
- Keep up with state-of-the-art research with the opportunity to create prototypes for the business and present at top conferences
WE’D LOVE TO MEET SOMEONE WITH
- A degree in Computer Science, Mathematics or a similar quantitative discipline like economics or social science
- Strong statistical modelling background – hypotheses testing, inference, regressions, random variables
- Comfortable presenting back to technical and non-technical stakeholders through effective data visualisation and building of reporting frameworks
- Comfortable with Python data science libraries such as pandas, scikit-learn, numpy, statsmodels
- Strong SQL experience including analytic functions, performance tuning, data wrangling
- Ability to work collaboratively and proactively in a fast-paced environment alongside scientists, engineers and non-technical stakeholders
- Ability to combine business intuition with the application of advanced solutions
- A passion for keeping up with the latest ongoings in Data Science and Machine Learning communities
- A curious mind, self-starter and endlessly keen to learn and develop themselves professionally
AN ADDED BONUS IF YOU HAVE
- An understanding of multi-sided markets and/or dating problem space
- Experience in using advanced statistical methods to solve problems. This can either be through academic projects and publications, or experience analysing and solving problems within industry
- Understanding of Machine Learning development lifecycle
- Hands-on experience in delivering Machine Learning models
- A basic knowledge of software development life cycle processes and tools – ETL pipelines, CI/CD, MLOps, agile methodologies, version control (git), testing frameworks
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Senior Data Scientist, Recommendations employer: Bumble Inc.
Contact Detail:
Bumble Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist, Recommendations
✨Tip Number 1
Familiarize yourself with Bumble's mission and values. Understanding how your role as a Senior Data Scientist can contribute to creating healthy and equitable relationships will help you align your discussions during interviews with the company's goals.
✨Tip Number 2
Showcase your experience with large datasets and statistical modeling. Be prepared to discuss specific projects where you've successfully implemented data-driven strategies, especially those that relate to user engagement or product improvement.
✨Tip Number 3
Highlight your collaborative skills. Since you'll be working in a cross-functional team, share examples of how you've effectively partnered with engineers, product managers, or other stakeholders to drive successful outcomes in previous roles.
✨Tip Number 4
Stay updated on the latest trends in AI and Machine Learning. Being able to discuss recent advancements or research in these fields during your conversations will demonstrate your passion and commitment to continuous learning, which is highly valued at Bumble.
We think you need these skills to ace Senior Data Scientist, Recommendations
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior Data Scientist position at Bumble. Understand the key responsibilities and required skills, especially focusing on statistical modeling, data science experience, and collaboration with cross-functional teams.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, machine learning, and statistical modeling. Emphasize any projects or roles where you worked with large datasets or developed algorithms that align with Bumble's mission.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for tech and data science. Discuss how your background aligns with Bumble's goals of creating healthy relationships and how you can contribute to their recommendations team.
Showcase Your Skills: In your application, provide specific examples of your experience with Python libraries, SQL, and data visualization. Mention any relevant projects or research that demonstrate your ability to solve complex problems using advanced statistical methods.
How to prepare for a job interview at Bumble Inc.
✨Showcase Your Statistical Skills
Be prepared to discuss your experience with statistical modeling, including hypothesis testing and regression analysis. Bring examples of how you've applied these techniques in past projects, especially in a business context.
✨Demonstrate Your Data Visualization Abilities
Since you'll need to present findings to both technical and non-technical stakeholders, practice explaining complex data insights clearly and concisely. Use visual aids or examples from your previous work to illustrate your points.
✨Highlight Your Collaborative Experience
This role involves working closely with cross-functional teams. Share specific instances where you successfully collaborated with engineers, product managers, or other stakeholders to drive a project forward.
✨Stay Updated on Industry Trends
Show your passion for Data Science and Machine Learning by discussing recent developments or research that excites you. This demonstrates your commitment to continuous learning and staying at the forefront of the field.
