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For Companies At a Glance
- Tasks: Drive product insights through data analysis and predictive modelling.
- Company: Join a fast-growing startup revolutionising mobile AI applications.
- Benefits: Competitive salary, stock options, health insurance, and career growth opportunities.
- Why this job: Make a real impact on global user acquisition and monetisation strategies.
- Qualifications: 3+ years in product analytics and strong SQL skills required.
- Other info: Collaborative team culture with significant investment in your learning.
The predicted salary is between 36000 - 60000 £ per year.
About the Company
44pixels is a venture capital-funded startup at the forefront of the mobile AI applications industry. Our mission is to revolutionise how users interact with AI through cutting-edge mobile apps. Backed by leading venture investors, we are on a rapid growth trajectory and are expanding our team with innovative, driven, and passionate individuals. We sit at the intersection of generative AI and great consumer products and believe this is a unique moment in time to take AI and make it available to the masses.
About the Role
As a Product Data Scientist, you will be the analytical engine driving our product insights, strategically positioned at the intersection of product, marketing, and monetisation. You will build and own predictive models for pricing, churn, and LTV, applying Causal Inference to understand the relationships in product usage, and analysing full user funnels. A core component of this role is designing and interpreting A/B and multivariate tests to improve user growth, engagement, and profitability. You will partner closely with product managers, growth marketers, and engineers to translate deep analysis into actionable product and growth strategies, establishing a strong foundation for scaling our mobile AI applications globally.
Responsibilities
- Experimentation at Scale: Design and interpret A/B and multivariate tests across acquisition channels, onboarding flows, and monetisation features.
- Retention: Develop churn models.
- Product Metric Trees: Decomposing our North Star revenue metrics into product improvement metrics, to guide product development and measure impact.
- Deep Dives: Lead investigations into feature usage and impact — surfacing root causes, forming the basis of future work / roadmapping.
- User Level Product Data Modelling: Expand our understanding of users through easy-to-analyse tables.
- Monetisation Insights: Build dashboards in Lightdash to democratise access, and manage the MCP for effective Agent Use.
- Cross-Functional Partner: Translate analysis into product and growth strategies; influence roadmaps with data-driven recommendations.
Qualifications
- 3+ years of professional experience in product/growth analytics.
- A degree in a quantitative technical field such as Mathematics, Statistics, Physics, Computer Science, or Engineering.
Required Skills
- Strong SQL skills and experience working with large-scale data.
- Familiarity with marketing and UA metrics (CAC, ROAS, LTV, ARPU) and experience linking marketing data with product behaviour.
- Proven track record designing and analysing growth and monetisation experiments.
- Experience with product analytics platforms.
- Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset.
- Strong communication and storytelling skills — able to distil complex findings into clear recommendations for both technical and non-technical stakeholders.
- Thrive in a fast-paced, high-growth startup environment with shifting priorities.
Preferred Skills
- Experience with mobile consumer apps and/or subscription business models.
- Basic proficiency in Python for statistical or predictive modelling.
- Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok).
- Background in consumer behaviour analytics and retention modelling.
- Knowledge of advanced methods for monetisation analytics (churn models, survival analysis, predictive LTV).
Pay range and compensation package
- Be the first dedicated product analytics specialist at 44pixels — set the foundations for product growth analytics at scale.
- Meaningful work with direct impact on global user acquisition and monetisation.
- Career-defining opportunity in a fast-growing, venture-backed startup.
- Collaborative and innovative team environment.
- Significant investment in your learning and growth.
- Competitive compensation + stock options.
- Health and dental insurance.
- Life assurance.
Equal Opportunity Statement
At 44pixels, we believe diversity drives innovation. We are committed to building an inclusive environment for all employees and welcome applications from candidates of all backgrounds.
Data Scientist employer: 44pixels
Contact Detail:
44pixels Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at 44pixels. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to product analytics or mobile apps. This will help you stand out and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and analytical skills. Be ready to discuss how you've used data to drive product decisions and growth strategies in past roles.
✨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 the 44pixels team.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for AI and data science shine through! We want to see that you’re genuinely excited about the role and how you can contribute to our mission at 44pixels.
Tailor Your CV: Make sure your CV is tailored to highlight your experience in product analytics and growth strategies. Use keywords from the job description to show us you’ve got what it takes to thrive in this fast-paced environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Share specific examples of your past work, especially around A/B testing and user behaviour analysis, to demonstrate how you can drive insights for our mobile AI applications.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at 44pixels
✨Know Your Data Inside Out
As a Data Scientist, you’ll be expected to have a strong grasp of data analysis. Brush up on your SQL skills and be ready to discuss how you've used data to drive product decisions in the past. Prepare examples of predictive models you've built and how they impacted business outcomes.
✨Master A/B Testing Concepts
Since experimentation is key in this role, make sure you can explain the principles of A/B and multivariate testing. Be prepared to discuss specific tests you've designed, the hypotheses you formed, and the insights gained from those experiments. This will show your practical understanding of the role.
✨Communicate Like a Pro
Strong communication skills are crucial for translating complex data into actionable insights. Practice summarising your findings in a clear and concise manner. Think about how you would present your analysis to both technical and non-technical stakeholders, as this will be a big part of your job.
✨Show Your Passion for AI and Mobile Apps
44pixels is all about revolutionising user interaction with AI through mobile apps. Make sure to express your enthusiasm for AI technologies and share any relevant experiences you have with mobile consumer apps or subscription models. This will help you connect with the company's mission and culture.