At a Glance
- Tasks: Own and optimise a cutting-edge marketing engine using advanced maths and AI.
- Company: Join EQUALS, a vibrant music social network backed by top investors.
- Benefits: Competitive salary, equity options, and a chance to work with industry leaders.
- Other info: Dynamic startup environment with opportunities for rapid career growth.
- Why this job: Make a real impact in a fast-growing platform that’s redefining social engagement.
- Qualifications: Strong background in maths or machine learning, with a passion for AI.
The predicted salary is between 60000 - 120000 £ per year.
EQUALS is a well-funded London-based music social network with 1 million monthly active users, backed by the investors behind Spotify, A24, and Facebook. Founded by a world-class team from Apple, Nike, and Instagram, EQUALS has sparked over 40 million friendships by uniting the world through the universal language of music.
EQUALS is seeking a technical builder to own their systematic marketing engine. You will treat paid acquisition like a quant desk, applying advanced mathematics and frontier AI to optimize a live portfolio across major social platforms. This hybrid role blends cultural intuition with rigorous experimentation to drive global user growth through music.
Location: London, UK
Why this role is remarkable:
- Join a high-traction social network with 1 million MAU that is outperforming platforms like Instagram and Snapchat in engagement and usage.
- Work alongside an elite team of creatives and technologists from Apple, Nike, and Instagram, supported by legendary investors who funded Spotify and Facebook.
- Build a first-of-its-kind marketing engine from the ground up, treating cultural trends as mathematical optimization problems using the latest AI models.
What You Will Do:
- Manage and optimize a multi-platform paid spend portfolio across TikTok, Meta, and Snap using real-time rebalancing systems instead of manual spreadsheets.
- Deploy generative AI and autonomous agents to iterate on creative content and marketing tooling at a pace no traditional team can match.
- Design scientific measurement frameworks for incrementality, attribution, and causal inference to replace gut-feel reporting with rigorous, actionable experimentation.
The ideal candidate:
- Strong quantitative background in mathematics, statistics, or machine learning, with a passion for applying these disciplines to messy, real-world consumer data.
- Fearless early adopter of AI who can bridge the gap between creative hooks and technical model reasoning to unlock new growth capabilities.
- Pragmatic builder with a bias for action, capable of shipping, measuring, and iterating quickly within a fast-paced, high-stakes startup environment.
Research Scientist (Growth) (£60k–£120k + Equity) at EQUALS employer: Jack & Jill
At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist (Growth) (£60k–£120k + Equity) at EQUALS
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Jack & Jill!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Research Scientist (Growth) (£60k–£120k + Equity) at EQUALS at Jack & Jill.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Jack & Jill.
✨Apply Directly through Our Website
When you find a suitable opening like Research Scientist (Growth) (£60k–£120k + Equity) at EQUALS at Jack & Jill, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Research Scientist (Growth) (£60k–£120k + Equity) at EQUALS
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Jack & Jill, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Jack & Jill. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Jack & Jill
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Jack & Jill!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
