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 Engineer on our Recommendations and adVantage teams, you will build and own the data foundation behind

Truecaller's recommendation and advertising ML systems. That means the feature pipelines, streaming event ingestion, training

datasets, and real-time feature serving that power the retrieval, ranking, and contextual-bandit models deciding what hundreds of

millions of users see. This is a hands-on platform role at the point where large-scale data engineering meets production machine

learning.

What you'll do:

Build and own the feature and training-data pipelines behind our retrieval, ranking, and contextual-bandit models, taking raw

events all the way to model-ready features.

Design streaming pipelines that close the loop between serving and learning, capturing impressions, clicks, and conversions in

near real time so models retrain on fresh signal.

Stand up and maintain a real-time feature store so features stay consistent between offline training and low-latency online

inference.

Own the ad-event and attribution data backbone: clean, reconciled pipelines for delivery, billing, and third-party attribution

partners.

Partner directly with data scientists to move models from notebook to production, owning the data contracts, freshness SLAs,

and lineage they depend on.

Build reusable, config-driven frameworks so new models and campaigns onboard without bespoke pipeline work each time.
Keep the platform reliable at scale: billions of events daily within defined SLAs, backed by monitoring, data-quality checks,

and dependable backfills.

Set best practices and processes around pipeline design, testing, and data modeling across the team.

What you bring in:

Strong programming skills in Python and Spark, with a track record of building complex, large-scale ETL/ELT pipelines.
Hands-on experience with an orchestration tool such as Airflow, feeding ML or analytics workloads in production.
Experience working with large datasets on a major cloud provider (GCP preferred; AWS or Azure also fine).
Solid software engineering fundamentals: testing, CI/CD with Git and Jenkins or similar, and code you would be happy to

maintain.

Comfort working shoulder to shoulder with data scientists and ML engineers, and a clear understanding of what production ML

needs from data - features, freshness, consistency, and lineage.

Excellent problem-solving and communication skills, and the self-motivation to own problems end to end.

It would be great if you also have:

Experience with streaming systems such as Kafka, Flink, or Spark Structured Streaming.
Experience with a feature store (Feast, Vertex AI, Tecton, or in-house).
Exposure to recommendation, ranking, or ads from ML systems and the data they rely on.
Knowledge of Kubernetes.
Experience managing a data warehouse in BigQuery (preferred) or Redshift.

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.

Roll

Senior Data Engineer - Recommendations

Kategori

Data/IT

Plats

Stockholm

Publicerad

3 juli

Sista ansökningsdag

16 augusti

Källa

Arbetsgivarens hemsida

Liknande jobb

Senior Product Manager, Data / ML

Mentimeter•Stockholm

Mentimeter is an engagement tool with a clear goal in mind. To turn presentations into conversations. Through real-time interactivity and clear visualizations, we get people to participate, engage and become more productive. Transforming all those passive meetings, airless classrooms and drawn out trainings into valuable and memorable moments. We truly believe that you achieve the best results by doing things together. And that successful leaders need to adopt a curious and collaborative mindset in order to get there. So with you at Mentimeter, you’ll be a big part of the ambition to help over 1 billion people listen, learn and work better together. SUMMER HIRING NOTICE: DUE TO SUMMER VACATIONS, WE WILL BEGIN THE REVIEWING AND INTERVIEWING PROCESS FOR THIS ROLE FROM AUGUST. HOWEVER, WE ENCOURAGE YOU TO SUBMIT YOUR APPLICATION AS SOON AS POSSIBLE. ABOUT THE ROLE AI is changing how people create and consume content, and the Insights product area is where Mentimeter turns that shift into an advantage rather than something we retrofit later. It's the area that decides what every one of our users sees, learns and does next, to turn data into something valuable enough to come back for, and in turn drive retention and expansion for our business. As Senior Product Manager, Data / ML, you'll own the data and ML depth of Insights: the intelligence that turns every interaction into sharper results, insights and recommendations, pulls in context from inside and outside Mentimeter, and gets better the more it's used. With 300 million users' worth of interaction data behind it, the mandate is to turn that into a defensible asset. The data and ML is the means; a system that drives measurable outcomes for users and the business is the end. This is a senior, hands-on role with a clear mandate. You'll report to the Product Director of Insights: the Director owns the area's place in company strategy and its org shape, while you own the data and ML depth that delivers it. You'll work alongside the other product managers in the area, our Staff Engineers, our Science Lead, the Office of the CTO, and our data platform teams. The exact shape of the teams is still forming, and you'll help shape it. In your first year, success looks like a clear direction the area is bought into, and the first solid evidence that the system is compounding. WHAT YOU'LL DO OWN THE DATA AND ML DIRECTION * Set the data and ML direction for the area and get alignment behind it across product, engineering and leadership. * Turn raw interaction data into immediately useful, actionable insight for users, at the individual level and aggregated up to the organization, measured by whether people come back and act on it. * Keep recommendations grounded in science, not just patterns in the data, working closely with our Science Lead to keep what we surface credible and defensible. BUILD THE INTELLIGENCE PLATFORM, FOR UI AND AGENTS * Own the platform that generates insights and recommendations: opinionated, grounded in our thought leadership, and built so the rest of the suite can build on top of it. * Make that intelligence usable two ways at once, surfaced directly in Mentimeter's UI and exposed so our AI companion and external agents can act on it, with a clean separation between the logic and context layer and the experience layer. * Build the ranking and timing that gets the right insight to the right user at the right moment, getting sharper from what lands. * Partner with Staff Engineers on the architecture and technical bets: you bring the product judgment and the outcomes the system must serve, they own the technical design. MAKE IT LEARN, AND PROVE IT * Define the measurement and experimentation standards the area scales by, so we only scale what shows durable lift against a strong baseline. * Show, with evidence, how the system's insights and recommendations get sharper over time as it learns from feedback, for example through reinforcement learning. * Own how we ship AI well: anticipate failure modes, set quality bars, guard against feedback loops that reinforce errors, and roll back cleanly when the model is wrong. * Make pragmatic calls on when to reach for ML, GenAI or something simpler, proving value before scaling. WHAT WE'RE LOOKING FOR AN EXPERIENCED DATA / AI PRODUCT LEADER * Several years leading data-driven or ML-backed products end to end, from discovery through rollout, ideally in B2B SaaS. * Experience with recommendation engines or similar ranking and personalization systems is highly relevant, and familiarity with AI ecosystems and integration patterns such as MCP is a bonus. YOU BUILD THE DATA SYSTEM, NOT JUST THE SURFACE * You've shipped data or AI products where the core value is the system itself, and you're comfortable reasoning about pipelines, models, and how data compounds over time. * You've led shared-capability or platform work where the real win was adoption and alignment across teams, not just shipping features. COMMERCIALLY MINDED AND OUTCOME-DRIVEN * You connect product decisions to business outcomes like retention, expansion and durable engagement, and treat data and ML as how you get there, not the point in itself. * You have a bias for the simplest solution that works, you resist over-engineering, and you have good judgment on when advanced ML or GenAI is worth the trade-off. RIGOROUS AND AI-NATIVE * Strong on experimentation, with real fluency in A/B testing, incrementality and causal inference. * Fluent in shipping AI responsibly and well: eval sets, failure modes, and a clear sense of what "good enough" looks like before something goes live. A LEADER WHO MULTIPLIES OTHERS * You lead through influence and coaching, make progress in ambiguity through iterative learning and clear decision points, and bring out the best in the people around you. Not sure you meet 100% of our qualifications? Please apply anyway and let us know why you'd enjoy working in this role at Mentimeter. PRACTICAL DETAILS * This role is based in our Stockholm office, primarily onsite with the option to work from home twice per week. * Swedish is not required. Daily work is carried out in English, and the Mentimeter team currently boasts 50+ nationalities. * A cover letter is not required as part of your application. Compensation At Mentimeter, we believe in fair and transparent compensation that grows with you. The salary range for this role is SEK 70,000–SEK 91,000 per month. It’s intentionally broad to reflect the different stages of growth within the role: from early development to deep expertise and meaningful impact. Where an individual is placed within the range depends on factors such as relevant experience, demonstrated skills, and alignment with the role’s requirements. We’re committed to supporting your growth. You’ll have ongoing development conversations with your manager, and your salary will evolve as you build skills and contribute to our mission. In addition to your monthly salary, we offer a comprehensive benefits package—learn more about it here: https://www.mentimeter.com/benefits/stockholm. What Mentimeter can offer At Mentimeter we can offer a diverse and inclusive work environment supported by smart and driven colleagues. We believe in continuous professional development for all of our colleagues and therefore offer access to a leadership program (including external personal coach) and relevant education to ensure that we continue to be state-of-the-art when it comes to innovating and building Mentimeter. Your place will be in a growing company with lots of career opportunities, working on a beloved product used by more than 300 million people. It’s not all about work though, we also offer a very healthy view on work-life balance. All of this comes attached with a competitive compensation and benefits package, including pension contributions. Learn more about our benefits by visiting our Benefits & Perks page AI and Hiring at Mentimeter At Mentimeter, we believe AI helps us work smarter - but it never replaces the human assessment, curiosity, and personal connection that define our culture and our hiring. We use AI as a sparring partner: to bounce ideas, bring new perspectives, support structure, and make our work more efficient. But the meaning, decisions, and interactions always come from people. * AI does not screen or decide on candidates. * There is no automated filtering, ranking, or decision-making in our recruitment process. Every application is reviewed by a person. * Hiring teams may use AI to support their work - for example, to structure notes, prepare interview questions, or organize their thinking. AI strengthens our work, but it does not define it. At Mentimeter, we’re not building an AI-driven hiring process - we’re building a people-first culture, where technology helps us listen, learn, and grow together. Culture at Mentimeter At Mentimeter we believe in giving everyone a voice - regardless of who you are. So we build a platform that does just that. Our platform is not only our product but also our organization. A platform where people feel safe, where differences are embraced, a place where you can have fun. We strongly encourage applicants who are people of color, LGBTQ+, women, people with disabilities, and/or formerly incarcerated people, and a college degree is not strictly required. In order to give everyone a voice, we need to be as diverse as our users. Learn more about our culture by visiting our Culture page. Review our Privacy Policy for more information.

Sista ansökan: 16 aug.Publicerad: 3 juli

Data Science Manager

Klarna Bank AB•Stockholm

What you will do Perform independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks. Develop challenger models. Review and challenge first-line fraud model methodologies, assumptions, and implementation choices (e.g., scikit-learn, LightGBM, graph models, anonaly detection techniques, GenAI components). Build and deploy agentic AI tools to support model validation workflows — automating review of model documentation and code, surfacing risks and inconsistencies. Assess model performance using appropriate fraud metrics (e.g., precision/recall, ROC-AUC, PR-AUC, cost-sensitive metrics, fraud rate capture, business impact trade-offs). Evaluate model stability, drift detection, retraining strategies, and production monitoring practices. Independently replicate model results where necessary and conduct challenger analyses to assess model robustness and limitations. Review large-scale transaction datasets and feature pipelines (e.g., >100M transactions, hundreds of features) to assess data representativeness, leakage risks, and bias. Evaluate model governance documentation, explainability approaches, and transparency — including regulatory compliance related to model risk, fairness, and data privacy. Validate new technologies applied in fraud detection, such as Graph Networks, Behavioral Biometrics, Anomaly Detection, and GenAI-based systems. Assess controls around CI/CD pipelines, deployment processes (e.g., Docker, Jenkins), and cloud environments (e.g., AWS SageMaker, S3, Athena, Lambda). Develop and maintain validation frameworks, testing standards, and model performance monitoring tools (e.g., SQL, PySpark, Python-based validation libraries). Collaborate closely with first-line fraud data scientists, ML engineers, product, and business stakeholders to ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and external regulatory expectations. Stay up to date with evolving fraud typologies, emerging ML/AI techniques, and regulatory developments in model risk management. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Engineering. 3+ years of hands-on experience in fraud-related modeling (e.g., transaction fraud, account takeover, identity fraud, payments fraud etc). Strong expertise in machine learning methods used in fraud detection, including tree-based models (e.g., LightGBM), anomaly detection, graph/network models, and advanced ML techniques. Deep understanding of the end-to-end ML lifecycle — from conceptual design and feature engineering to production deployment and monitoring — with the ability to critically challenge each stage. Strong programming skills in Python and SQL; experience with PySpark/Spark and large-scale data processing. Experience building agentic AI workflows. Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Lambda, S3, Athena) and production deployment workflows. Strong knowledge of model validation principles, model risk governance frameworks, and regulatory expectations. Experience assessing model bias, fairness, explainability, and privacy risks. Excellent analytical thinking and structured problem-solving skills, with the ability to assess complex models and clearly articulate risks and limitations. Strong communication skills, capable of translating technical findings into clear, actionable insights for senior stakeholders and non-technical audiences. Ability to work independently while constructively challenging first-line teams in a collaborative manner. Awesome to have Experience in BNPL, credit cards, payments, or other transaction-heavy financial products. Experience validating models in highly regulated environments. Experience mentoring junior validators or leading validation reviews. Exposure to inference of rejected transactions and understanding of fraud/credit overlap. Familiarity with AI governance frameworks and emerging AI regulatory requirements.

Sista ansökan: 30 aug.Publicerad: 15 maj

MjukvaruutvecklarePythonAWS

Senior UX Researcher – Stockholm 🚀

Sway Sourcing Sweden AB•Stockholm

Om uppdraget 🌍 Vi söker nu en Senior UX Researcher till ett globalt produktbolag inom digitala användarupplevelser. Du blir en del av en snabbfotad och tvärfunktionell organisation där användarinsikter spelar en central roll i utvecklingen av skalbara mobila produkter för miljontals användare världen över. I rollen arbetar du nära Product Managers, Designers, Engineers och Data Scientists för att säkerställa att produkter och funktioner utvecklas utifrån verkliga användarbehov och beteenden. Dina arbetsuppgifter 🔍 Planera, genomföra och analysera användarundersökningar Arbeta med både explorativ och utvärderande research Genomföra exempelvis usability testing, contextual inquiry och koncepttestning Ta fram datadrivna och användarcentrerade insikter Bidra till produkt- och UX-strategiska beslut Facilitera workshops och presentera resultat för stakeholders och beslutsfattare Identifiera mönster och syntetisera insikter över flera initiativ och produktområden Bidra till utvecklingen av organisationens övergripande researchförmåga Förväntade leveranser 📌 Kvalitativa och kvantitativa användarinsikter kopplade till produktutveckling Rekommendationer som stärker användarupplevelse och produktstrategi Researchrapporter, presentationer och stakeholder-underlag Faciliterade workshops och kunskapsdelning inom organisationen Underlag för prioritering och vidareutveckling av produkter och tjänster Din profil ✅ Flera års erfarenhet av User Research i moderna digitala produktorganisationer Relevant akademisk bakgrund inom exempelvis HCI, Kognitionsvetenskap, Psykologi eller Samhällsvetenskap Gedigen erfarenhet av researchmetoder såsom: Etnografiska studier Contextual inquiry Usability testing Koncepttestning Förmåga att kombinera kvalitativa insikter med kvantitativ eller beteendedata Erfarenhet av att arbeta nära tvärfunktionella produktteam Förmåga att snabbt sätta sig in i nya organisationer och skapa förtroende Mycket god kommunikativ förmåga och vana att presentera för seniora stakeholders Stark förståelse för användarupplevelse, systemtänk och produktutveckling Intresse för hur AI och ny teknik påverkar framtidens researcharbete Personliga egenskaper 🌟 Analytisk och nyfiken Självständig och strukturerad Kommunikativ och pedagogisk Trygg i att arbeta i föränderliga miljöer Samarbetsorienterad med stark stakeholder management-förmåga 📍 Plats: Stockholm 🕒 Omfattning: 100% 📅 Start: 2026-05-27 📅 Slut: 2027-04-26 ⏳ Sista ansökningsdag: 2026-05-21 Sway Sourcing är en innovativ rekryteringspartner som specialiserar sig på att matcha rätt talang med rätt företag – snabbt och effektivt. Vårt huvudfokus ligger inom Ekonomi, Administration, HR, Marknad och IT, men vi har även den breda expertis och flexibilitet som krävs för att leverera skräddarsydda rekryteringslösningar inom alla branscher. Trots att vi är en relativt ny aktör har vi redan byggt förtroende hos många av Sveriges största företag och arbetar både nationellt och internationellt. Med baser i Sverige och Spanien erbjuder vi en unik kombination av lokal expertis och global räckvidd. Vårt starka nätverk och djupa branschinsikter gör oss till en självklar partner för företag som vill ligga steget före i sin rekrytering.

HeltidSista ansökan: 16 nov.Publicerad: 19 maj

UX-forskningAnvändartesterStakeholder Management