Senior Data Scientist

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

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart. Purpose-driven at core. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Data Scientist to join us!  👩‍💻 About The Role: As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics. You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions. What You’ll Do: Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basis Build time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next model Prototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environment Own the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market Experts Write your models in Python, version your code in Git, use CI/CD to ensure full reproducibility Partner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals) Collaborate & mentor across other data scientists, quants and engineers. Who You Are: Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years building and deploying ML/time-series models in production Strong Python + SQL and no stranger to the command line; comfortable writing clean, maintainable, production-ready code Deep understanding of time-series forecasting and real-world modeling challenges Curious, data-driven, and comfortable working with messy or complex datasets Able to take projects from idea to production autonomously Highly driven by our mission and your impact, yet humble enough to know we are all always learning Thrive in a fast-moving environment and adapt models as markets evolve (Bonus) Experience in energy markets, trading, or power systems - or demonstrated motivation to learn 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, the Team, VP of Engineering and our VP of Product. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.