Data Scientist, Recommendations

Bumble Inc.; London; On-site; GBP 50,000 - 80,000; Full time

Job summary

Bumble Inc. is seeking a Data Scientist to enhance user experiences through data analysis and machine learning. The role involves collaborating with cross-functional teams to develop recommendation systems and improve product offerings. Ideal candidates will possess strong statistical skills and experience with Python and SQL. Join us to make a significant impact in connecting people across our platforms!

Qualifications

• Strong statistical modelling background including hypothesis testing and regressions.
• Experience with Python libraries like pandas and scikit-learn.
• Ability to present data insights to both technical and non-technical stakeholders.

Responsibilities

• Work in a cross-functional team to evaluate algorithmic improvements.
• Conduct large-scale experiments to test hypotheses.
• Collaborate with Product Management to define key metrics.

Skills

Statistical Modelling

Data Visualization

Collaboration

Curiosity

Education

Degree in Mathematics

Degree in Economics

Degree in Social Science

Tools

Python

SQL

Job description

Inclusion at Bumble Inc.

Bumble Inc. is an equal opportunity employer and we strongly encourage people of all ages, colour, lesbian, gay, bisexual, transgender, queer and non-binary people, veterans, parents, people with disabilities, and neurodivergent people to apply. We're happy to make any reasonable adjustments that will help you feel more confident throughout the process, please don't hesitate to let us know how we can help.

In your application, please feel free to note which pronouns you use (For example: she/her, he/him, they/them, etc).

Bumble is looking for a Data Scientist to join our team and play a key role in fulfilling our mission to bring people closer to love. Concretely, this means exploring our large datasets, developing statistical models and being comfortable working with machine learning to improve the recommendation models and product experience for our members.

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 bringing people closer to love. 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, and BFF. 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 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
• 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

About Us

Bumble Inc. is the parent company of Bumble, Badoo, Bumble For Friends, and Geneva. 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 For Friends) and professional networking (Bumble Bizz). Badoo, which was founded in 2006, is one of the pioneers of web and mobile dating products. Bumble For Friends is a friendship app where people in all stages of life can meet people nearby and create meaningful platonic connections. Geneva is a group and community app for people to connect based on shared interests.