Founding Data Scientist

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix and Steuerbot, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Taxfix makes tax filing simple, fast, and accessible for millions of users across Europe. Behind the product sits a data platform that powers everything from business analytics and regulatory reporting to ML and AI-driven product features. We’re growing and the platform needs to grow with us. We are looking for an experienced Data Platform Engineer to design, build, and operate the infrastructure and pipelines that make data at Taxfix reliable, compliant, and ready for AI. You will own the systems that move data from operational databases, APIs, and SaaS tools into our analytical environment and make sure that data is correct, timely, and safe to use. Your work will directly enable ML and AI-powered product experiences, self-serve analytics, and regulatory reporting. YOUR TEAM: The Data Platform team is part of the Data Organization, which enables everyone at Taxfix to make data-driven decisions, drive business growth, and power ML and automation in our products. Within our group we have product analysts, analytics engineers, machine learning engineers, and data engineers working across the whole company. The platform team serves many consumers analytics, ML, product, and compliance so you can expect to join cross-functional project teams regularly, working alongside backend and frontend engineers, analysts, ML engineers, product and design. Team members are all data engineers but from different backgrounds. We rely on each other to deliver our best, grow together, share knowledge openly, and invest in personal development through mentoring and innovation. YOUR RESPONSIBILITIES AND DECISIONS: * Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable * Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse * Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines * Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills * Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do * Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers * Prepare data for ML and AI use cases - build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference * Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team * Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt YOUR PROFILE: * 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) * Strong Python skills for data pipeline development - you write production code, not just scripts * Strong SQL skills - window functions, CTEs, query optimization are second nature * Experience with event-driven data pipelines - CQRS, event ordering, idempotency, and the difference between initial load and incremental processing * Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring * Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production * Cloud platform experience - you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale * Infrastructure-as-code - experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments * K8S and Docker containerization - you package and deploy your own work * Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” * Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls * Awareness of data privacy requirements - you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers * AI-enabled engineering practices - you actively use AI assistants and code generation tools to accelerate development and deliver, and you share effective practices with the team WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers - virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app - and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves.

Prior Labs

WHO WE ARE Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched. Tables run every clinical trial, every financial model, every scientific experiment, every business decision, and no one had built a foundation model that truly understood them. Until now. What LLMs did for language, we're doing for tables. The next modality shift in AI is happening, and we're hiring the team that makes it. Momentum. We pioneered tabular foundation models and are now the world-leading organization in structured-data ML. Our TabPFN v2 model was published as a Nature cover story and set a new state of the art for tabular machine learning. Since release we've scaled model capabilities 20x+, passed 3.5M+ downloads and 7,500+ GitHub stars, and are seeing accelerating adoption across research and industry - from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi to improving clinical-trial decisions with BostonGene. The hardest work is ahead. We're scaling tabular foundation models to millions of rows, thousands of features, real-time inference, and entirely new data modalities, while building the infrastructure to run them in production across some of the most demanding industries on earth. These are open problems no one else is working on at this level. Our team. We're a small, highly selective team of 30+ engineers, researchers, and GTM specialists, with backgrounds spanning Google, Apple, Amazon, DeepMind, Meta, Microsoft Research, G-Research, Jane Street, Goldman Sachs, and CERN. We're led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by world-leading AI researchers including Bernhard Schölkopf and Turing Award winner Yann LeCun. We ship fast, do top-tier research, and hold each other to an extremely high bar. What's next. In 2025 we raised €9m pre-seed led by Balderton Capital, backed by leaders from Hugging Face, DeepMind, and Black Forest Labs. The next phase of growth is here, which makes this an ideal time to join. ABOUT THE ROLE We are hiring our first Account Executive to drive commercial adoption of our foundation models for structured data. This is a founding role — you'll shape how we sell, who we sell to, and what good looks like for every AE who joins after you. You'll own the full sales cycle across enterprise and mid-market accounts, working directly with the commercial founder and a team of ex-DeepMind, Palantir, Jane Street, Goldman Sachs and Amazon researchers and operators. This role combines a strong outbound focus with the potential for end-to-end deal ownership. You'll spend most of your time on outreach and discovery with technical buyers (data scientists, ML engineers, technical leaders), while also navigating buying committees, developing proposals, and closing deals. You'll help create the materials and messaging that make our outbound motion successful while driving revenue outcomes. We're looking for someone who loves the craft of outbound and wants to build the engine, not just close deals. OUTBOUND AND PIPELINE GENERATION * Drive outbound outreach to high-potential accounts through email, LinkedIn, and community channels * Execute targeted campaigns and iterate based on what works * Qualify inbound leads and identify opportunities worth pursuing SALES CYCLE OWNERSHIP * Run discovery calls and product demos with data science and ML teams * Develop proposals and business cases tailored to customer needs * Navigate buying committees across technical and business stakeholders * Own opportunities from qualification through signed contract TECHNICAL ENGAGEMENT * Understand our product deeply and speak credibly with data scientists and ML engineers * Communicate technical value in a clear and compelling way * Shape tailored messages and outreach sequences for technical personas BUILDING THE MOTION * Help define qualification criteria, outbound sequences, demo structure, and objection handling - the playbook you help write is what we hire against next * Bring field intelligence back to the team on objections, positioning, and what customers actually care about WHAT YOU BRING * 3+ years in a full-cycle AE role at a data infrastructure, ML tooling, developer tools, or deep tech company * Track record closing enterprise and mid-market deals with technical buyers — data scientists, ML engineers, or engineering leadership * Strong technical literacy - comfortable holding a credible conversation with an ML team * Proven outbound execution and pipeline generation from scratch * Builder mentality - you want to figure out how to sell this, not inherit someone else's playbook * Bonus: hands-on experience with data science or ML workflows, or background selling to ML platform teams WHY THIS ROLE IS EXCITING * First AE at a company with real research credibility, a Nature publication, and production customers with the world's largest enterprises * Direct line to founders - you'll shape commercial strategy, not just execute it * Genuine category creation and bringing frontier AI to industry * Clear path into sales leadership as the team scales LOCATION * This role is specifically located in our Berlin office Life at Prior Labs We're a small, ambitious team solving one of the hardest problems in AI, and we're just getting started. You'll work closely with world-class researchers and builders who care deeply about the quality of their craft, the impact of their work, and the people they work with. We move fast, we think rigorously, and we take the time to do things right. If you're excited by hard problems, motivated by real-world impact, and want to be part of building something that matters, we'd love to hear from you. We're building our teams in Berlin, Freiburg, and New York and we believe that when you're working on something as hard and exciting as TabPFN, being in the same room matters. Most of our roles are based in one of our offices but great people come from everywhere, and in exceptional cases we're open to remote. This usually involves frequent travel to one of our offices and the whole company comes together regularly for offsites to think, build, and celebrate together. Our Commitments We believe the best products and teams come from a wide range of perspectives, experiences, and backgrounds. That's why we welcome applications from people of all identities and walks of life, especially anyone who's ever felt discouraged by "not checking every box." We're committed to creating a safe, inclusive environment and providing equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are. We care about how your data is handled. Read our Recruiting Privacy Notice to see exactly what we collect, why, and how long we keep it.

Taxfix

OUR STORY: Every year millions of people are either filing their taxes in fear or giving up on their tax refund altogether. We're working on fixing that. Our intuitive app enables anyone, regardless of education or background, to file their taxes with newfound confidence. Spread across Germany, Spain and the UK, the team at Taxfix Group with its brands Taxfix, Steuerbot and TaxScouts, is a compassionate group of solution-finders. We speak our minds openly, and with over 400 professionals, including tax experts, developers, and IT security experts, we're rich in ideas and voices. The group has facilitated more than 3.5 billion euros in tax refunds for its customers since its founding in 2016. YOUR CHALLENGE: Join our Marketing Analytics team as a Marketing Scientist, where your mission is to build the measurement and modeling capability that decides how we grow. You will own how Taxfix measures marketing causally and turn that into production models that directly shape CLV, CAC, and revenue. Your output is durable measurement infrastructure and models that the Growth Marketing, CRM, and MarTech teams operate every day to scale efficiently in competitive markets. YOUR RESPONSIBILITIES AND DECISIONS: * Own and advance our marketing measurement stack (attribution, MMM, incrementality testing, brand tracking) and set the causal-inference standard the marketing organisation uses to make budget, channel-mix, and retention decisions. * Build production-grade models (CLV, demand forecasting, propensity) that feed live decisions such as budget allocation and channel mix, not one-off analyses. * Own the model lifecycle together with Analytics Engineering: reproducible pipelines, validation, monitoring, and retraining, so models stay trustworthy once they are in production. * Design and run experiments as a discipline (geo tests, holdouts, incrementality) and act as the arbiter when measurement approaches disagree. * Apply advanced statistical and machine-learning methods (regression, Bayesian inference, causal inference, forecasting) to turn ambiguous marketing questions into clear decisions that move CLV and reduce CAC. * Communicate results persuasively to technical and non-technical stakeholders and drive adoption of the recommendation across Marketing. * Build and bring AI-native analytics workflows (agentic data exploration, LLM-assisted causal analysis) into the team's everyday practice. YOUR PROFILE: *  3+ years in marketing science or marketing analytics with hands-on modeling, ideally in B2C acquisition and retention. * Deep with attribution, MMM, incrementality testing, causal inference, and experimentation design across digital paid channels (search, social, programmatic) and CRM. Exposure to offline and brand measurement (TV, CTV, podcast) is beneficial. * Strong statistical and machine-learning foundation (regression, Bayesian methods, classification, clustering, forecasting) applied to marketing use cases such as CLV prediction, demand forecasting, and pricing-elasticity models. * Has taken models to production: reproducible pipelines, validation, and monitoring, and is comfortable partnering with Analytics Engineering on deployment. Advanced SQL and Python, with dbt for data modeling. Comfortable communicating results in BI tools such as Looker. * Strong ability to connect analysis to CAC, CLV, and retention outcomes and guide acquisition and retention strategy. * Proactive and outcome-driven, comfortable owning work end to end from data pipeline to business recommendation that drives measurable impact. * Practical experience applying AI-driven solutions such as prototyping with LLMs (e.g. Claude Code, Gemini CLI), automating workflows (e.g. LangChain, n8n), and using AI-powered IDEs (e.g. Cursor) to accelerate analysis.   WHY TAXFIX? * A chance to do meaningful, people-centric work with an international team of passionate professionals. * Holistic well-being with free mental health coaching sessions and yoga. * A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like. * Employee stock options for all employees—because everyone deserves to benefit from the success they help to create. * 30 annual vacation days and flexible working hours. * Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip. * Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible. * Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions. * Have a four-legged friend in your life? We’re happy to have dogs join us in the office. Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.   At Taxfix, we believe that incredible things happen when you have a wealth of perspectives and experiences. We're proudly committed to equal employment and development opportunities no matter your gender, race, religion, age, sexual orientation, colour, disability, or place of origin. To help mitigate any potential unconscious biases, we ask that you refrain from including your picture, age, or marital status on your CV. Let your experiences speak for themselves. Not sure if you meet all the requirements for this role? Please apply anyway. You might bring something special to the team that we hadn't considered previously.