
Toca Boca AB · Stockholm
Denna roll som Senior Data Scientist innebär att vara en nyckelperson i Toca Bocas data- och forskningsmotor för att förstå hur barn och familjer engagerar sig i deras spelvärld och därmed forma fantastiska lekupplevelser.
Denna roll som Senior Data Scientist innebär att vara en nyckelperson i Toca Bocas data- och forskningsmotor för att förstå hur barn och familjer engagerar sig i deras spelvärld och därmed forma fantastiska lekupplevelser.
Would you like to play a key part in Toca Boca’s Data & Research engine? With over 60 million monthly active users and terabytes of daily data, as a Senior Data Scientist, you will play an integral role in understanding how kids and families engage with our play ecosystem, directly shaping fantastic, safe, and imaginative play experiences.
At Toca Boca, we don’t lock you into narrow corporate silos or endless maintenance tasks. As a Senior Data Scientist, you will enjoy broad end-to-end ownership across the entire product lifecycle—from exploratory data science, advanced modeling, and experimentation to product strategy and monetization dynamics.
You’ll join our Data & Analytics team while partnering seamlessly with our User Research team under a unified Insights banner. Together, we blend big data behavioral telemetry with qualitative player research, working closely with cross-functional game teams to unlock the full value of our play ecosystem.
What you’ll be doing
Uncover Deep Player Insights: Analyze complex player datasets to understand behavioral patterns, feature engagement, and retention drivers across our games, informing overall product and commerce strategy.
Apply Advanced Statistical Methods: Apply statistical models, regression analysis, predictive segmentation, and experimental methods (A/B testing) to optimize product performance at scale.
Bridge Quantitative & Qualitative Insights: Partner seamlessly with our User Research team under a unified Insights banner, connecting the "what" (big data trends) with the "why" (qualitative research) to deliver a 360-degree understanding of our players.
End-to-End Ownership & Influence: Take full ownership of complex, ambiguous game product questions. Partner directly with PMs, Designers, and Engineers to translate complex datasets into clear, data-backed recommendations.
Innovate & Evolve Workflows: Continuously refine our analytics capabilities by leveraging modern data science workflows, predictive modeling, and AI tools to accelerate discovery and analysis.
What Success Looks Like
Trusted Co-pilot: You become a trusted analytical partner to game teams, shaping product decisions through rigorous data science, experimentation, and player empathy.
Broad Impact: You thrive with the freedom to influence multiple product areas—from core play loops and feature design to commerce and top-of-funnel engagement—without being pigeonholed.
Holistic Insights: You successfully bridge quantitative behavioral data with qualitative user research to create unified narratives that inspire game design.
Autonomy & Momentum: You help teams move quickly by surfacing key facts, reducing ambiguity, and solving open-ended problems that don't have predefined playbooks.
Is This You?
3+ years of experience (or equivalent senior-level impact) in user-focused Data Science or Advanced Product Analytics within Gaming, Mobile Apps, or Interactive Digital Products.
Empathy & Product Sense: Deep curiosity and intuition for player experience, engagement, and kids' digital environments.
SQL Mastery & Data Exploration: Outstanding SQL skills querying cloud data warehouses (experience with Google BigQuery and DBT is a huge plus).
Advanced DS Toolkit: Proficiency in Python (or R) for statistical modeling, machine learning, segmentation, and exploratory deep dives. Experience with BI tools like Tableau or Looker is a great plus!
Rigorous Statistical Foundation: Strong track record in experimentation lifecycle design, A/B test analysis, and hypothesis testing.
AI & Modern Workflows (Nice to have): Curiosity or Hands-on experience building, integrating, or utilizing AI/LLM tools within your data workflows or analytics stack.
Clear Storytelling & Autonomy: Skilled at translating complex quantitative and qualitative data into simple, compelling recommendations for non-technical partners. Thrives with high autonomy in fast-paced environments.
This is us!
Toca Boca together with Sago Mini, Lylli and Originator, make up Digital Games within Spin Master. We create games, digital toys, and everyday products that are filled with fun that kids from any corner of the world can instantly relate to. We celebrate the diversity and quirkiness of their world and give them the freedom to play in ways that only they can.
The Spin Master Mission and Vision is to make life more fun by pushing the boundaries of innovation, creativity, and fun!
Good to know!
This position is full time and based in our Stockholm office with a hybrid working model. We apply a 6-month probationary period. As we’re an international company, with over 20 nationalities working here, and millions of users all over the world, you must be fluent in English.
Toca Boca develops digital games that capture the power of play and that are filled with fun and silliness that kids around the world can instantly relate to. Since our first product launch in 2011, we have released 46 apps that have been downloaded more than 444 million times the world over, making us the No. 1 mobile-first kids brand in the App Store. Our products focus on sparking kids’ creativity and imagination, creating opportunities for open-ended play.
With offices in Stockholm and San Francisco, Toca Boca is owned by Spin Master Corp., a global children’s entertainment company that creates, designs and manufactures a diversified portfolio of innovative toys, games, products and entertainment properties.
Job Description WHAT YOU’LL DO As a Senior Data Scientist, you will work hands on to solve complex business and product problems using data and machine learning. You will collaborate closely with cross functional teams and be expected to work pragmatically, navigate ambiguity, and focus on delivering measurable impact. Own and contribute to data science initiatives end to end, from understanding problem statements and exploring data to building, deploying, and maintaining models in production. Design, deploy, and operate LLM‑powered tools and workflows in production, with responsibility for evaluation, monitoring, and continuous improvement Apply statistical methods, machine learning, and advanced analytics to support product and business decisions. Develop, test, and improve models and data‑driven solutions with a strong focus on quality, scalability, and long‑term maintainability. Take responsibility for solutions after deployment, including monitoring, troubleshooting, and iterative improvements. Perform exploratory and ad hoc data analysis, and present insights in a clear and structured way. Communicate closely with stakeholders to translate business needs into analytical approaches and explain outcomes in an accessible manner. Contribute to technical standards, best practices, and knowledge sharing within the data science community. WHO YOU’LL WORK WITH You will work in cross‑functional teams together with colleagues in product, engineering, analytics, and business roles. You will also be part of a broader Data Science community, collaborating with other data scientists to share knowledge, align on best practices, and continuously improve how data science is applied across the organisation. WHO YOU ARE We are looking for people with… A Bachelor’s or Master’s degree in Statistics, Engineering, Computer Science, or a related field. Strong theoretical and practical knowledge of statistics and machine learning. Proven experience developing and deploying machine learning models in cloud environments beyond notebook‑based work. Hands‑on experience building and deploying LLM‑based applications, including fine‑tuning, retrieval pipelines, and prompt engineering. Strong proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, LangChain, or similar libraries. Practical experience with MLOps practices, CI/CD pipelines, and model monitoring, ideally in a cloud environment. And people who are… Strong in their SQL skills for data manipulation and analysis Familiar with DBT or similar data transformation tools Experienced with vector databases and embedding models Excellent communicators and confident taking ownership and accountability Comfortable working in ambiguity while being proactive Please note that we will not be able to offer relocation for this role, so we will not be able to proceed with candidates living/working outside of Sweden. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. 30 days holiday We offer a collective agreement which includes pension and life insurance H&M Incentive Program Wellness benefit 4000kr/year (from Jan 1, 2026) Benify Benefits Portal Community with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Scientist, you will lead high-impact initiatives at the intersection of data science, product, and engineering. The role combines machine learning, statistics, and data engineering to solve meaningful, real-world problems, with strong collaboration at its core, working closely with stakeholders across the organization and within the team to deliver results that no single person could achieve alone. What you will do * Exploring the problem space and finding data science solutions that provide step increases in customer experience * Planning data science work for the team, with an emphasis on collaboration to achieve common goals * Gathering, collating, and understanding the data necessary to create data science products that delight the customers * Collaborating with stakeholders throughout Truecaller to find and build data science products that solve business and customer problems at scale. * Coaching and mentoring junior to senior data scientists to improve their technical skills and productivity What you bring in * Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related field. * At least 5 years of experience in using data science and machine learning to solve real-world problems * Excellent programming skills in Python and SQL * Solid understanding and experience with the tooling for Python - IDEs, unit testing frameworks, and static code checks * Excellent communication and interpersonal skills, with the ability to present complex data and insights to non-technical stakeholders * Strong problem-solving skills and a results-oriented mindset * Customer obsession * Able to own and drive projects and products to production and iteratively improve them over time It would be great if you also have * Understanding how to query very large data efficiently (we use BigQuery) * Experience collaborating with C-suite executives * Experience with data from mobile applications * Experience with data visualization and reporting tools, such as Tableau, Looker, or Power BI (we use Looker) * A solid understanding of the engineering requirements necessary to put machine learning solutions into production and scale them to hundreds of millions of customers What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English
We're at a pivotal moment for both Tibber and the planet. When joining Tibber, you won’t just help scale a forward-thinking tech company – you’ll contribute to a real shift in how people consume electricity. With millions of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique energy trading portfolios on the market. We’re looking for a Senior Data Scientist to join us in making the energy transition happen – maybe that’s you? ---------------------------------------------------------------------------------------------------------------------------------- Job Mission 🚀 As a Senior Data Scientist, you will help accelerate Data Science at Tibber by bridging the gap between advanced data science and robust production systems. You'll play a key role in building predictive data models that increase our metric of savings per kWh. ---------------------------------------------------------------------------------------------------------------------------------- What you'll do ✅ * Lead the ML platform build. Own the direction of our ML infrastructure: model registries, versioning, monitoring, drift detection and automated retraining, and take it from good to great. This is the core of the role, especially in your first year. * Ship models that move the metric. Develop and deploy forecasting, optimization and personalization models that plug straight into live products like Smart Charging and dynamic pricing. * Strengthen the impact chain. We evaluate every data science service against clear goals. You'll help us take the next step: connecting model quality all the way to realized savings per kWh, through counterfactual evaluation and decision-quality metrics. * Raise the bar with your peers. Review code, sharpen best practices and shape how a senior team works with LLM and agentic AI tools, as colleagues not students. * Own end-to-end delivery. Drive the full lifecycle from problem framing and data sourcing to production deployment and continuous improvement. ---------------------------------------------------------------------------------------------------------------------------------- What we're looking for⚡ You are driven by impact, enjoy fast-paced environments, and thrive when given autonomy. You've built an ML platform before and know how to go beyond models that work in a notebook to a system a team can trust. We believe you'll be a great fit if you: * Have a proven track record of developing production-grade ML platforms with drift detection, model registries and CI/CD workflows, and can point to teams that shipped faster because of what you built. * Possess deep technical skills in Python and hands-on experience with cloud ML infrastructure like Databricks MLflow, AWS SageMaker or an equivalent. * Bring deep expertise in at least one ML domain we run in production: time-series forecasting, optimization algorithms or personalization at scale. * Think in platforms, not patches: you build repeatable workflows and you know how to onboard a team of experienced peers into them. * Handle ambiguity well and communicate complex data concepts clearly to product and engineering stakeholders. * Embrace LLM and agentic AI tools as part of how modern data science gets done. * Bonus: experience with energy time-series data, smart charging or grid optimization. ---------------------------------------------------------------------------------------------------------------------------------- 💆🏻♀️💆🏽♂️The Tibber Mindset Tibber exists to drive energy independence - away from fossil dependency. Our tech helps hundreds of thousands of households shift their electricity consumption to more sustainable and affordable hours - from electric vehicles to smart thermostats, all connected to the Tibber platform. We strengthen the resilience of the grid. Not in theory. In everyday life. We win, fail, and grow together, staying curious and pushing for better every day. AI is shaping how we work - and we're on a journey to make it central to everything we do. The further we go, the more our Tibberinos matter - and yes, that's what we call ourselves! Started by two founders in 2016. Now 300+ Tibberinos across Stockholm, Oslo, Berlin, Amsterdam, and Førde. And we're still just getting started. You're welcome at Tibber for who you are. We hire for what you can do and how you think - not your background or where you've been. Diverse teams build better products, and we mean that.