Applied Scientist, Data Science at Prior Labs | Berlin

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the core of both scientific and business operations. While foundation models have revolutionized text and image processing, structured data has remained largely neglected. We are seizing the opportunity in this $600 billion secto…

Join Our Innovative TeamAt Prior Labs, we are pioneering the development of foundation models that excel in understanding tabular data, which is essential for the realms of science and business. While foundation models have revolutionized the processing of text and images, structured data remains an untapped frontier. We aim to seize this $600 billion opportunity to transform the way organizations engage with scientific, medical, financial, and business data.Our Momentum: We stand as a global leader in structured data machine learning. Our TabPFN v2 model, featured in Nature, has set new benchmarks in tabular machine learning. Since its launch, we have enhanced model capabilities by over 20 times, recording more than 2.5 million downloads and over 5,500 GitHub stars, along with a rapidly growing adoption rate across research and industry. We are currently advancing the next generation of tabular foundation models and actively commercializing them within leading enterprises across Europe and the US.Meet Our Team: Our diverse team comprises over 20 engineers and researchers, meticulously selected from over 5,000 applicants, with impressive backgrounds from Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. Led by the creators of TabPFN and mentored by esteemed AI researchers like Bernhard Schölkopf and Turing Award winner Yann LeCun, we are committed to excellence. Discover more about our team here.What Lies Ahead: With the backing of elite investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting moment to join us and play a crucial role in shaping the future of structured data AI. Read our manifesto.Position OverviewWe are seeking exceptional full stack engineers to contribute to the development of the ML Platform that underpins our tabular foundation model offerings. This role presents a unique opportunity to work at the intersection of data science, agents, user experience (UX), and tangible economic impact.Responsibilities:Take ownership of our user-facing frontend and backend applications to develop cutting-edge data science tools.Collaborate with product and research teams to transform new model and agent capabilities into actionable production features.Design and implement high-trust, scalable systems.Focus on optimizing for speed, reliability, and security.Current technology stack includes JavaScript/TypeScript, among others.

About UsAt Prior Labs, we are pioneering the development of foundation models designed to comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the way we process text and images, the potential of structured data remains largely untapped. We are seizing a monumental $600B opportunity to redefine how organizations interact with scientific, medical, financial, and business datasets.Our Momentum: We are recognized as the global leader in structured data machine learning. Our groundbreaking TabPFN v2 model, featured in Nature, has set a new benchmark for tabular machine learning. Since its launch, we have scaled our model's capabilities by over 20 times, achieving more than 2.5 million downloads and garnering over 5,500 stars on GitHub. Our technology is rapidly gaining traction in both research and industry, paving the way for the next generation of tabular foundation models which we are actively commercializing with leading enterprises across Europe and the US.Our Team: We are a selective and dynamic group of over 20 engineers and researchers, handpicked from a pool of more than 5,000 applicants. Our diverse backgrounds include industry giants such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and receive guidance from eminent AI researchers, including Bernhard Schölkopf and Turing Award laureate Yann LeCun. Discover more about our team here.Join Us: With support from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is your chance to help shape the future of structured data AI. Read our manifesto.Your Impact AreasAs a Research Scientist Intern, you will be at the forefront of collaborating on a novel class of AI models that go beyond mere incremental improvements. At our early-stage startup focused on foundation models for tabular data, you will encounter a myriad of thrilling research opportunities and challenges that align with your interests and expertise. Our initiatives include:Enhancing our transformer architectures to effectively handle datasets from 10K to over 1M samples without sacrificing performance.Developing multimodal models that integrate textual and tabular data on proprietary datasets.Creating tailored architectures for time series analysis, forecasting, and anomaly detection.

Join our dynamic team at prior-labs as an Office Manager in Berlin! We are looking for a highly organized and proactive individual who will be responsible for ensuring the smooth operation of our office environment. You will play a key role in supporting the team and managing day-to-day administrative tasks.

Join Our TeamAt Prior Labs, we are revolutionizing the way organizations interact with tabular data—the essential framework of scientific and business operations. While foundation models have already transformed text and image processing, structured data has largely been overlooked. We are seizing a $600B opportunity to redefine how industries manage their scientific, medical, financial, and business information.Our Achievements: As the leading authority in structured data machine learning, our TabPFN v2 model has set a new benchmark presented in Nature. With over 2.5 million downloads and more than 5,500 stars on GitHub, our model capabilities have grown by over 20x, showcasing its rapid adoption across both research and commercial sectors. We are now developing the next generation of tabular foundation models for global enterprises in Europe and the US.About Our Team: Comprising over 20 elite engineers and researchers selected from a pool of more than 5,000 candidates, our team boasts expertise from industry giants such as Google, Apple, Amazon, and CERN. Led by the creators of TabPFN and advised by eminent AI researchers like Bernhard Schölkopf and Turing Award winner Yann LeCun, we are poised for groundbreaking advancements. Meet the team here.Looking Ahead: With backing from top-tier investors and industry leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting time to join us as we shape the future of structured data AI. Explore our manifesto.Role OverviewAs a pioneering Research Scientist, you will be at the forefront of developing a groundbreaking class of AI models. Our latest innovation, TabPFN, has significantly outperformed existing methodologies, marking a pivotal moment in AI research. This role offers a unique chance to:Engage in transformative AI breakthroughs rather than merely incremental advancements.Influence global organizational practices regarding their most valuable data.Join us at a crucial juncture following our recent funding and rapid scaling.We are challenging the limits of transformer architectures in structured data. Key challenges include...

Join Our Team at Prior LabsPrior Labs is at the forefront of innovation, developing foundation models that comprehend tabular data—an essential component for both science and business. While foundation models have revolutionized text and images, structured data has largely been overlooked. We aim to seize this $600 billion opportunity to fundamentally transform how organizations interact with scientific, medical, financial, and business data.Our Achievements: We are a leading organization in structured data machine learning. Our groundbreaking TabPFN v2 model was featured in Nature, establishing a new benchmark for tabular machine learning. Since its launch, we have amplified our model capabilities over 20 times, garnered over 2.5 million downloads, and achieved 5,500+ stars on GitHub. Our rapid adoption rate is evident across both research and industry as we develop the next generation of tabular foundation models and commercialize them with leading enterprises in Europe and the US.About Our Team: We are a small yet select group of over 20 engineers and researchers, handpicked from a pool of 5,000 candidates. Our team members hail from esteemed organizations such as Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and are advised by world-renowned AI researchers, including Bernhard Schölkopf and Turing Award winner Yann LeCun. Learn more about our team here.What's Next: Supported by top-tier investors and experts from Hugging Face, DeepMind, and Silo AI, we're experiencing rapid growth. This is your chance to join us and help shape the future of structured data AI. Explore our manifesto.

About Parloa Parloa is dedicated to transforming customer interactions into seamless experiences. As the demand for agentic AI grows, our team is at the forefront of redefining customer support, ensuring that every interaction is not just a transaction but a meaningful exchange. With the power of AI, we have facilitated over one billion interactions for leading global brands like IKEA and Booking.com, implementing our solutions at scale. About the Role: We are looking for a Principal Applied Scientist who will spearhead our applied AI strategies, focusing on AI agents and Generative AI. This role is both hands-on and impactful, bridging the gap between research and production. You will explore, validate, and enhance methodologies that directly influence our products, including model evaluation, agent behavior, and context engineering. You will also define the metrics for measurement and improvement across the industry. In addition to execution, you will serve as a technical leader, identifying opportunities and building a robust framework for applied science at Parloa. Areas of Ownership: Define and lead applied AI initiatives focused on agent systems, LLM evaluation, and model optimization. Manage ambiguous problem spaces end-to-end: from conceptualization and experimentation to real-world impact. Design and implement evaluation & benchmarking frameworks, challenging existing industry standards and creating new benchmarks where necessary. Drive innovation in agentic systems, including routing, memory, and context engineering. Prototype and validate new methodologies, such as model combinations and fine-tuning strategies. Translate research into production-ready solutions in close collaboration with engineering teams. Act as a technical authority, mentoring team members and establishing best practices. Establish and lead the Applied Science guild, promoting knowledge sharing and elevating standards across teams. Influence product and technical strategy, pinpointing how applied science can drive maximum value. Who You Are: 12+ years of experience in applied science or a related field. Proficient in AI agent technology and generative models. Strong problem-solving skills with a passion for innovation. Exceptional leadership and mentoring abilities. Ability to collaborate effectively across teams.

Join Almedia, a cutting-edge company reshaping the marketing landscape and striving to become Germany's next bootstrapped unicorn. Recognized as Europe's third fastest-growing company in 2025 (FT1000), we provide an exceptional environment for ambitious professionals to accelerate their careers.Our innovative platform rewards a vibrant community of over 60 million users for their engagement with top-tier products from global advertisers, presenting a unique opportunity to redefine user acquisition strategies.We are seeking a Creative Data Scientist, specializing in marketing creatives and user acquisition, to leverage data science, advanced statistical techniques, and A/B testing methodologies. Your contributions will directly influence our paid growth performance through deep analysis and optimization of ad creatives.This role is hands-on, grounded in real-time experimentation and measurable outcomes.

At Enpal, we are more than just a company; we are a pioneering movement. As a prominent greentech unicorn and one of Europe’s fastest-growing energy providers, our mission is to make solar energy accessible and simple for homeowners throughout the continent. Our forward-thinking business model for solar panels, heat pumps, home energy storage solutions, and EV charging stations is transforming the residential energy landscape. We empower homeowners to adopt clean energy, setting the stage for a sustainable and decentralized energy future.As the foremost leader in residential solar, Enpal is advancing its next venture: Enpal Energy, our platform designed for the management, optimization, and orchestration of millions of distributed energy assets. This includes the development of Europe’s largest Virtual Power Plant (VPP), which connects solar systems, batteries, heat pumps, and EV chargers to actively stabilize the grid and create new revenue opportunities for our customers.We envision a bold future: to be the cornerstone of Europe’s shift towards distributed, intelligent, and clean energy generation.We are in search of a Data Scientist to enhance our expanding Energy Data Science team. Your contributions will directly influence energy trading decisions within one of Europe's largest residential energy communities, having a tangible impact on our participation in the energy market. This role is tailored for a proactive data scientist with robust software engineering skills and experience across the entire data and ML stack.Key ResponsibilitiesDevelop, research, and implement time series forecasting models for energy markets (including load, generation, and weather forecasting), managing the complete lifecycle from data exploration and feature engineering to model training, evaluation, deployment, monitoring, and retraining.Enhance our MLOps infrastructure by contributing to experiment tracking, model versioning, automated retraining pipelines, and production observability.Effectively communicate forecasting performance and model insights to trading and product stakeholders, bridging the gap between technical results and business impact.Collaborate intimately with Data Engineers, Software Engineers, and Product teams to produce well-engineered, reliable data science solutions.Play a pivotal role in shaping our data science roadmap and contribute to innovative forecasting methodologies.Guide and mentor junior data scientists, fostering a collaborative learning environment.

About the Role almedia is looking for a Founding Data Scientist to help define and build its data strategy in Berlin. This early team member will work directly with leadership to turn complex datasets into actionable insights and shape the direction of product development. What You Will Do Analyze and interpret large, varied datasets to inform business and product decisions Collaborate closely with founders and engineers to design data-driven features Develop models and tools that improve and expand company offerings Who Will Succeed Enjoys the challenges and pace of an early-stage startup Brings hands-on experience in data science and a drive to see ideas through from concept to impact Wants to play a key role in building something new from the ground up This is a chance to have a direct influence on almedia’s future and set the foundation for a data-driven culture.

Join our team at billie as a Senior Data Scientist, where you will leverage your expertise in data analysis and machine learning to drive innovative solutions. You will work closely with cross-functional teams to develop data-driven strategies that enhance business performance. Your role will involve designing and implementing robust data models, analyzing complex datasets, and presenting actionable insights to stakeholders.

Join Our Dynamic AI Team:At SumUp, a leader in the fintech space, we are dedicated to providing an unparalleled customer experience. Our Global Operations team seeks a talented and enthusiastic Data Scientist to enhance our AI initiatives. You will play a pivotal role in developing models that directly impact customer interactions and the overall efficacy of our AI products.In this position, you will engage in the design, testing, and implementation of advanced machine learning and AI models. Your efforts will bolster our customer support framework by pinpointing areas for improvement and customizing experiences to meet merchant requirements.Your collaboration with diverse teams—including analysts, ML engineers, and product managers—will be essential in translating business objectives into actionable, measurable ML solutions. Your work will shape the future of our customer support, enabling SumUp to remain a customer-centric organization.

Your RoleDevelop, test, and deploy models that enhance Peec AI's recommendations, enabling customers to improve their visibility in AI-driven searches.Create algorithms to derive actionable insights from AI search behaviors, delivering data-informed suggestions that elevate brand visibility in AI search.Manage the complete model lifecycle from research to production, collaborating closely with engineering to seamlessly integrate machine learning solutions into our systems.Design and implement robust data pipelines to ingest, process, and analyze extensive datasets.QualificationsDemonstrated backend development expertise in Python, with experience in building APIs, data pipelines, or machine learning infrastructure, and familiarity with tools such as FastAPI, Docker, and cloud platforms (preferably GCP).A profound interest in understanding how LLMs function, with the capability to reverse-engineer AI search behavior and translate findings into actionable product features.A proven ability to transition projects from research to production in a fast-paced startup environment, showcasing strong problem-solving skills and adaptability in addressing ambiguous and evolving challenges.Exceptional communication skills, capable of articulating complex technical concepts to both customers and stakeholders.Our Data Science StackLanguages: Python, SQLLibraries: Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNXBackend: GCP, Cloud Functions, Firestore, Postgres, AlloyDB, BigQueryAI Models: OpenAI, Claude, Perplexity, Gemini, Llama, etc.Bonus PointsContributions to open-source projects.Deployment of side/hobby projects.

About zenjob zenjob connects companies with temporary workers through an AI-powered staffing platform. Since 2015, zenjob has helped businesses instantly book staff and enabled students to find part-time jobs that fit their academic schedules. The platform serves over 40,000 students and 1,000 partner companies in logistics, retail, and hospitality across major German cities. The team believes that advanced technology and genuine commitment lead to great work. Role Overview: Data Scientist The Data Scientist will analyze and optimize marketplace performance while uncovering talent behavior from first engagement through long-term retention. This role sits within a centralized Analytics & Data Science team, working closely with Marketing, Sales, Product & Engineering, and Operations. The main goal: define clear metrics, build reliable data models, and turn complex analysis into business decisions that drive results. Main Focus Areas Marketing Effectiveness: Study the impact of different channels and campaigns on growth. Talent Lifecycle: Explore user behavior from acquisition and activation to retention and lifetime value. Marketplace Performance: Examine how supply and demand interact on the platform. Your Responsibilities Define and maintain key metrics across the marketplace and user lifecycle, using reliable dbt models trusted by all teams. Build self-service dashboards, reporting layers, and playbooks that make data more accessible and actionable for internal teams. Develop attribution and measurement models (such as multi-touch attribution, data-driven attribution, and Marketing Mix Models) to assess channel effectiveness in acquisition and engagement. Model talent behavior with a focus on conversion, retention, and Customer Lifetime Value to support sustainable marketplace growth. Design and evaluate experiments (including A/B tests and incrementality tests) to measure the causal impact of marketing and product changes.

At Almedia, we are redefining the landscape of marketing and user engagement. As one of Europe’s fastest-growing companies, we are on a mission to become Germany’s second bootstrapped unicorn. Our innovative platform rewards a community of over 60 million users for interacting with our advertisers’ products, creating a unique ecosystem for user acquisition.We are seeking talented Data Scientists to join our dynamic team in Berlin, where you will play a crucial role in enhancing our product and data capabilities.In this high-impact position, you will leverage your expertise in hands-on modeling and cross-functional leadership to enable us to better understand user behaviors, optimize incentive structures, and lay the groundwork for scalable, data-driven decision-making.

Join our innovative team at billie as a Data Scientist (w/m/d) in the vibrant city of Berlin. We are seeking a data-driven individual who is passionate about leveraging data to drive business decisions and improve outcomes. This role involves analyzing complex data sets, building predictive models, and collaborating with cross-functional teams to enhance our product offerings.

Who We AreAt Melotech, we are transforming the landscape of media and entertainment through innovative technology. Our creations have captivated audiences worldwide, accumulating over 3 billion minutes of engagement within just two years. Founded by visionary entrepreneur Soheil Mirpour, we enjoy robust backing from prominent venture capitalists including Cherry Ventures, Speedinvest, and GFC, as well as esteemed angel investors from industry giants like Spotify, Blackstone, and KKR.Your RoleWe invite you to become our pioneering Data Scientist, charged with organizing and interpreting the complexities of cultural data. You will uncover insights from unconventional data sources to answer pivotal questions: What emerging cultural trends are being overlooked? How can we forecast viral success? What elements define an underserved category? Working autonomously alongside our founder and team, your findings will directly impact our strategic direction. On any given day, your responsibilities may include:Identifying and utilizing new, previously inaccessible data sources through innovative scraping techniquesDeveloping data processing pipelines from the ground up to manage raw, unstructured dataLeveraging LLMs and advanced coding tools to streamline data cleaning and analysis processesLaunching EC2 instances for real-time data aggregation and automated scraping tasksPrototyping and deploying machine learning models on AWS for immediate predictions and content evaluationCrafting tailored dashboards and reports to convey insights effectively to leadershipEvaluating trends, audience engagement, and performance metrics to inform strategic business decisionsWho You AreWe seek experienced data scientists who recognize that true influence stems from transforming chaotic, unstructured data into pivotal insights that guide business strategy. You are not just a model builder; you are a problem solver who creatively accesses elusive data and translates statistical results into actionable plans. Your qualifications typically include:A degree in Data Science, Statistics, Computer Science, Physics, Mathematics, or related quantitative field3+ years of practical data science experience in dynamic business settings, including Tier 1 consultancy, major tech firms, high-growth startups, or media industry leadersProficient in Python and data manipulation libraries

Superhuman offers a full-time dynamic hybrid working model for this role. This flexible approach allows team members to experience the best of both worlds: a balance of focused work time and in-person collaboration that nurtures trust, creativity, and a robust team culture.About SuperhumanSuperhuman, which now includes Grammarly as part of its suite, is an innovative AI productivity platform on a mission to unleash superhuman potential in everyone. Our apps and intelligent agents seamlessly integrate with over a million applications and websites, making work more efficient. Our offerings include Grammarly’s advanced writing assistance, Coda’s collaborative workspaces, Mail’s effective inbox management, and Go, our proactive AI assistant that understands context and provides timely support. Founded in 2009, Superhuman serves over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, enabling them to eliminate busywork and concentrate on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for an Applied Research Scientist who possesses a strong interest in natural language processing (NLP), machine learning (ML), and deep learning (DL) to join our Agents team. This team is dedicated to developing user-facing features across all Superhuman applications, enhancing the way our users write, collaborate, and communicate in large groups. The successful candidate will contribute unique insights during the product development process, from ideation through to defining solutions. Leveraging a profound understanding of ML/DL/NLP concepts, the Applied Research Scientist will design approaches to tackle complex challenges and enhance our product offerings.At Superhuman, our engineers and researchers enjoy the freedom to innovate and explore groundbreaking solutions, which directly influences our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the technical challenges we face are rapidly evolving. For more insights, read about our tech stack or check out our technical blog.Your ImpactAs an Applied Research Scientist, you will harness your enthusiasm for creating innovative product solutions that positively impact millions. Staying abreast of the fast-evolving field of NLP while focusing on building production-ready systems will be key to your success.

At Lever, founded eight years ago, we address one of the most critical challenges faced by organizations: recruiting and hiring exceptional talent. Our mission is to develop the next generation of hiring software, trusted by industry leaders such as Netflix, Yelp, Cirque du Soleil, Shopify, and Spotify to enhance their teams. We have revolutionized the talent acquisition landscape and are proud to be at the forefront of innovation in our field, seeking outstanding individuals to join our journey as we expand. We take great pride in what we’ve accomplished so far, being honored as the #1 workplace in San Francisco and recognized among the top employers across the United States. Our greatest asset is our people; we are committed to investing in our 'Leveroos' and fostering a culture that prioritizes our team members. Join us as a Data Scientist!

Join Our Innovative TeamAt Prior Labs, we are pioneering the development of foundation models that adeptly comprehend tabular data, which serves as the cornerstone of both scientific and business endeavors. While foundation models have revolutionized the fields of text and image processing, structured data has largely been overlooked. We are seizing the opportunity to address this $600 billion market and fundamentally transform how organizations manage scientific, medical, financial, and business data.Our Achievements: We stand at the forefront of structured data machine learning. Our TabPFN v2 model, featured in Nature, has set a new benchmark in tabular machine learning. Since its launch, we have enhanced our model capabilities over 20 times, achieved over 2.5 million downloads, garnered more than 5,500 stars on GitHub, and are witnessing rapid adoption across both research and industry sectors. We are currently developing the next generation of tabular foundation models and actively commercializing them in collaboration with global enterprises in Europe and the U.S.About Our Team: We are a compact, highly selective team of over 20 engineers and researchers, chosen from more than 5,000 applicants. Our team includes talents from industry giants like Google, Apple, Amazon, Microsoft, G-Research, Jane Street, Goldman Sachs, and CERN. We are led by the creators of TabPFN and supported by renowned AI researchers, including Bernhard Schölkopf and Turing Award winner Yann LeCun. Meet our exceptional team here.Looking Ahead: With backing from top-tier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are experiencing rapid growth. This is an exciting opportunity to join us and contribute to shaping the future of structured data AI. Read our manifesto.Your ImpactIn this role, you will do more than simply deploy models; you will play a crucial role in delivering transformative solutions that redefine how organizations leverage data. You will work at the intersection of advanced AI technology and practical applications, collaborating closely with our key strategic partners.