Data Scientist - London - 44pixels

    44pixels
    44pixels London

    5 days ago

    £45,000 - £85,000 (GBP) per year *
    Description

    About the Company

    44pixels is a venture capital-funded startup at the forefront of the mobile AI applications industry. Our mission is to revolutionize 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 monetization. You will build and own predictive models for pricing, churn, and LTV, applying Causal Inference to understand the relationships in product usage, and analyzing 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 monetization features.
    • Retention & Engagement: Apply Causal Inference to uncover the relationships in user behavior and long term 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.
    • Monetization Insights & Modelling: Design and implement pricing models, evaluate paywall performance, pricing experiments, and offer strategies to maximize LTV and ROI on ad spend.
    • Growth Analytics: Map and analyze full user funnels — from acquisition to conversion, subscription, retention, and churn — identifying key drop-offs and opportunities.
    • Metrics & Dashboards: Define, track, and evolve product KPIs (X, Y, Z); build dashboards in Lightdash to democratize 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 behavior.
    • Proven track record designing and analyzing growth and monetization experiments.
    • Experience with product analytics platforms.
    • Excellent problem-solving abilities, attention to detail, and hypothesis-driven mindset.
    • Strong communication and storytelling skills — able to distill 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 modeling.
    • Familiarity with mobile UA platforms (Meta, Google Ads, AppLovin, Apple Search Ads, TikTok).
    • Background in consumer behavior analytics and retention modeling.
    • Knowledge of advanced methods for monetization 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 monetization.
    • 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.

    * This salary range is an estimation made by beBee
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