Data Scientist (Experimentation & Personalization)

Lingokids is on a mission to help families raise amazing kids through Playlearning™. Ready to join us on this exciting journey? 🚀

Lingokids is a global leader in educational technology, helping over 185 million families worldwide raise amazing kids through Playlearning™,our unique approach that blends education with play. Our mission is to empower children with modern learning experiences, combining educational subjects with essential life skills to help them grow into confident, conscious, and resilient lifelong learners.

Beyond our award-winning app, we’ve built a multi-platform educational universe, including our “Baby Bot” and “Baby Bot’s Backyard Tales” shows, Podcasts, and Music Publishing. Our content, developed in collaboration with top education experts and Oxford Press University, ensures an engaging, high-quality learning experience in a safe, ad-free environment. This dedication to excellence has earned Lingokids multiple industry awards across app, podcast, and video categories, including Best Original Learning App by Kidscreen Awards, National Parenting Product Awards by NAPPA Awards, and Best Parenting Product by Good Housekeeping, among many others!

As a Data Scientist on the Product Engagement team, your mission is to push our recommendation and personalization capabilities further by solving the complex statistical and methodological problems that sit beyond standard analytics. Where the analyst maps the user journey and identifies opportunities, you are the person who figures out how to act on them at scale - designing the statistical frameworks, causal models, and experimentation strategies that turn behavioral insights into smarter, more effective personalization. You thrive on hard problems, bring rigorous thinking, and are equally comfortable working with product managers and with ML engineers.

What you'll do

• Advance our recommendation and personalization logic by designing and validating new statistical approaches - from improved segmentation models and engagement scoring to causal uplift estimation and multi-touch attribution.

• Own the experimentation framework for the team: design rigorous A/B and multivariate tests, develop methodologies to handle complex measurement challenges (novelty effects, interference, long-term effects), and ensure results are interpreted correctly.

• Tackle complex analytical problems that require going beyond descriptive statistics - building predictive models, running causal inference analyses, and decomposing metric movements into their drivers.

• Partner closely with the Senior Analyst to turn user journey insights into statistically grounded targeting and personalization strategies.

• Collaborate with the ML Engineering Data Scientist to ensure that statistical models and experimental findings can be produced and integrated into the recommendation engine.

• Define and refine the metrics and success criteria used to evaluate personalization quality, ensuring we measure what actually matters for users and for the business.

• Own the offline evaluation framework: build and maintain counterfactual evaluation methods, replay-based policy estimation, and offline screening pipelines that let the team assess 10 ideas offline for every 1 tested live - dramatically accelerating iteration speed.

• Map and measure the interplay between editorial rules and personalization logic - systematically investigating when and how rules like hardcoded IP placements, content diversity constraints, or curated onboarding slots interact with ML-optimized recommendations, and designing experiments to quantify the trade-off.

• Communicate complex statistical findings clearly and confidently to non-technical stakeholders, and advocate for methodological rigor across the team.

What you'll bring

• Strong statistical foundation: deep expertise in probability, statistical inference, regression modeling, and causal inference methods (A/B testing, difference-in-differences, propensity score matching, uplift modeling). Knows when each tool is appropriate and where each breaks down.

• Python for data science: fluent in Python (Pandas, Numpy, Scipy, Statsmodels, Scikit-learn) for analysis, modeling, and prototyping. Writes clean, reproducible, version-controlled code.

• SQL and data pipelines: strong SQL skills for large-scale data warehouses (Databricks or equivalent). Comfortable with DBT or similar transformation layers to build robust analytical foundations.

• Experimentation expertise: has designed and run A/B tests end to end in a product context, including power analysis, metric selection, and handling tricky scenarios (novelty effects, network interference, multi-armed bandits).

• Recommendation and personalization thinking:experience evaluating or improving how a system decides what content, products, or actions to surface to users. Understands the core trade-offs in personalization - relevance vs. diversity, exploration vs. exploitation, short-term engagement vs. long-term value - and has worked on measuring whether recommendations are actually helping users, not just optimizing a metric.

• Complex problem-solving: comfortable sitting with ambiguous, open-ended problems and structuring a rigorous path to an answer. Does not default to simple solutions when the problem demands more.

• Product and business thinking: connects statistical work to business outcomes. Asks the right question before answering the one given. Has influenced product or personalization strategy with data-backed recommendations.

• Collaboration: works effectively at the intersection of analytics, product, and engineering. Translates statistical complexity into clear implications without oversimplifying.

Nice to have

• Experience building offline evaluation frameworks for ranking or recommendation systems (counterfactual evaluation, replay estimation, interleaving).

• Experience with recommendation systems or content personalization from a statistical/modeling perspective (e.g. collaborative filtering, contextual bandits, learning-to-rank).

• Familiarity with Bayesian inference or probabilistic modeling.

• Experience with experimentation platforms such as Amplitude or GrowthBook.

• Background in subscription or freemium product analytics.

English is a must:We’re a multicultural team providing a service in English, so while certifications aren’t necessary, fluency is essential. As a fully remote company, clear and effective spoken and written communication, especially in asynchronous and long-form formats, is key to collaborating successfully.

Life at Lingokids

📚 Career Growth: Your growth drives our success! We invest in your development up to €2,000 per year for books and training; so you can keep learning and growing with us.

🏡 Remote-Friendly: Work from where you’re most productive, home or our offices in Madrid, anywhere within a 2-hour difference from Spain (GMT+1). The choice is yours!

📈 Stock Options: Your contribution matters! You'll receive stock options, giving you the opportunity to own part of the company and share in its success.

🖥 Home Office Setup: Create your ideal workspace with a €400 allowance for setup and €35/month for remote work expenses, because comfort fuels creativity!

🍲 Meal Allowances: Get €60/month on your Cobee card to enjoy meals at restaurants or food delivery, good food makes everything better!

💳 Flexible Compensation: Manage your meal, transport and childcare expenses easily with Cobee, integrating them directly into your payroll.

🩺 Health Insurance: Access private health coverage at exclusive rates through Adeslas, seamlessly deducted from your payroll, quality care made simple.

💬 Language Lessons: Learning never stops! Enjoy free language classes in Spanish and English, to sharpen your skills and stay connected in a global team.

🌍 Visa Sponsorship: If you need a visa to work in the EU, we’ll handle the process and cover the costs to make your transition seamless.

🎉 Company events: Yes! We’re a fully remote team spread across different countries, but we love getting together from time to time in different corners of Spain, for team gatherings and recharging at our amazing off-sites!

Passion matters more than perfection

Didn’t check every box for this role? No worries! We’re looking for passionate, driven individuals who believe in our mission. If that sounds like you, we’d still love to hear from you!

Diversity, Equity, and Inclusion

At Lingokids, diversity isn’t just a checkbox—it’s at the heart of everything we do. Just like we teach kids to embrace differences, we celebrate them in our team, knowing that the best ideas come from unique perspectives. We’re all about creating a space where everyone feels valued, heard, and empowered to be their authentic selves. No matter your background, identity, or story, if you’re passionate about making a difference in education, we want you here.