Director of Data Science

Join Peec as our Director of Data Science!At Peec, we are on a mission to revolutionize AI-driven search recommendations. We are seeking an experienced Director of Data Science to lead our talented team, drive innovation, and develop cutting-edge machine learning solutions that will define the future of our products.Your ResponsibilitiesLead, mentor, and ins…

Join Delivery Hero as a Director of Data Science specializing in Deep Learning and Artificial Intelligence. In this leadership role, you will spearhead innovative projects aimed at transforming data into actionable insights and contributing to the strategic direction of our data science initiatives.

As a Project Director at dreessommerse, you will spearhead complex projects within the EPCM sector, focusing on cutting-edge technologies in semiconductors, life sciences, and data centers for hyperscalers. You will leverage your extensive experience to manage cross-functional teams and ensure project objectives are met efficiently and effectively.Your role will involve strategic planning, resource allocation, and maintaining strong client relationships to drive project success. You will be at the forefront of innovation and transformation in these dynamic industries.

About UsAt Melotech, we are at the forefront of transforming the media and entertainment landscape. Our innovative approach combines art and technology, enabling audiences around the globe to immerse themselves in experiences that have collectively reached over 3 billion minutes of engagement in just two years. Founded by visionary entrepreneur Soheil Mirpour and supported by premier venture capitalists like Cherry Ventures, Speedinvest, and GFC, as well as influential figures from major firms such as Spotify, Blackstone, and KKR, we are poised to lead the next wave of cultural evolution.Your RoleAs a Data Science Intern, you will play a pivotal role in untangling the complexities of cultural data. Your insights will help us uncover emerging trends, predict viral phenomena, and identify underserved market segments. Working independently alongside our founder and a dynamic team, your contributions will directly shape our strategic decisions. On a typical day, you can expect to:Innovate new data sourcing methods using advanced scraping techniquesDevelop robust data processing pipelines to manage raw, unstructured informationLeverage LLMs and cutting-edge coding tools to streamline data cleaning and analysisInitiate EC2 instances for real-time data gathering and automated scraping tasksPrototype and deploy machine learning models on AWS for immediate insights and content evaluationCraft custom dashboards and reports to present your findings to key stakeholdersAnalyze audience trends and performance metrics to influence critical business decisionsCandidate ProfileWe are seeking aspiring Data Scientists who recognize that impactful insights emerge from transforming chaotic, unstructured data into strategic business intelligence. You are not just a model builder; you are a problem solver who creatively accesses difficult data sources and translates statistical insights into actionable plans. Ideal candidates will possess:Enrolled in or recent graduate of a degree program in Data Science, Statistics, Computer Science, Physics, Mathematics, or a related quantitative fieldPractical experience in data science within fast-paced business environments, including Tier 1 consulting, major tech companies, or prominent media organizationsProficiency in Python, with a solid understanding of data science libraries and frameworks

ABOUT TALON.ONE: Talon.One stands as a leading incentives engine, merging loyalty, promotions, and gamification into a single, cohesive platform. With robust enterprise-grade security and scalability, Talon.One enables companies to craft personalized and profitable promotions and loyalty programs utilizing any data available.Currently, over 250 globally recognized brands, including Adidas, Sephora, and Carlsberg, collaborate with Talon.One to foster deeper customer engagement and enduring loyalty. ABOUT THE TEAM:As the Director of Data Strategy, you will be the strategic visionary at the helm of our data initiatives, defining and implementing our comprehensive data strategy. You will lead a talented data team in constructing a world-class data platform that effectively bridges technical engineering with demonstrable business value.Your primary objective will be to transform our data operations into a strategic asset for stakeholders throughout the organization. You will be responsible for executing a detailed roadmap that aligns our data engineering capabilities with quantifiable business outcomes, ensuring our data infrastructure scales alongside our global clientele and serves as a critical differentiator in decision-making, showcasing product value, and powering future innovations.We are looking for a strategic leader with proven expertise in a B2B SaaS environment. The ideal candidate will exhibit the ability to formulate a clear strategy, align with key stakeholders including the CTO, VP of Product, and VP of Customer Success, and operate with a substantial degree of autonomy. ONCE YOU ARE HERE YOU WILL:Own the data roadmap, evolving the team from an operational setup phase to a scalable, strategic function that supports the entire organization.Directly manage, mentor, and develop a cross-functional team of 4 professionals including a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering ownership, and enhancing the capabilities and professional growth of your team members.Collaborate with the Post-Sales team to streamline QBRs, making them reliable, self-service, and automated, ensuring we can effectively demonstrate the value of our product through insights for our global clients, such as H&M, Sephora, and Adidas.Oversee the transition to a unified data platform that integrates Product Analytics, Business Decision Making, and Machine Learning workloads.Establish standards for data governance, reliability, and resilience across our modern data stack (utilizing tools like BigQuery, DBT, and more).

Transform the Future of TravelEmbark on an exciting journey with GetYourGuide as we connect travelers with remarkable experiences worldwide. Our mission is to provide unique activities that our users can trust, ensuring that every journey is extraordinary—including yours.Are you ready to unlock your potential within a community of fellow adventurers? Join us at our Berlin headquarters or at our local offices around the world, from New York to Bangkok. Visit getyourguide.careers to take the first step.Team MissionThe Supply Data Products team is dedicated to empowering activity providers to deliver seamless and unforgettable experiences to GetYourGuide's customers at scale. We develop cutting-edge AI and ML systems that curate a high-quality catalog, enhance content through LLM-powered generation and evaluation, and proactively identify valuable inventory to expand our marketplace in collaboration with tech and business teams.Our work represents the pinnacle of innovation, influencing every strategic aspect of the supply side of our marketplace—from streamlining supplier onboarding to enriching catalog content and enhancing pricing and demand forecasting. We are committed to helping activity providers thrive on GetYourGuide by making the marketplace more intelligent, trustworthy, and easier to manage at scale.Your MissionDefine the technical vision for AI/ML across GetYourGuide's supply domain and manage the roadmap for our systems, from problem framing to system design and production standards.Lead a team of Data Scientists and MLOps Engineers in creating intelligent systems that drive the supply side of our marketplace.Collaborate closely with Product, Engineering, and Business stakeholders to pinpoint high-impact opportunities and develop them into production-grade AI/ML solutions.Serve as a strategic partner to both Product and Business, transforming ambiguous requests into clear domain-level initiatives that ensure GetYourGuide's continued success.Foster an engaging environment for talented individuals, ensuring they feel supported and grow, promoting high standards and healthy team dynamics.Deliver impactful AI systems into production quickly, maintaining a balance between speed and sound judgment while upholding high standards of quality, reliability, and customer trust.Integrate deep technical expertise in LLMs and production AI/ML systems with strong leadership skills to shape the strategy and execution of our initiatives.

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 sector to fundamentally reshape how organizations interact with scientific, medical, financial, and business data.Our Progress: As a global leader in structured data machine learning, our TabPFN v2 model has been featured in Nature, establishing a new benchmark for tabular machine learning. Following its launch, we have enhanced our model's capabilities by over 20 times, achieving more than 2.5 million downloads and over 5,500 GitHub stars, with rapid adoption across both research and industry. We are currently advancing the next generation of tabular foundation models and actively partnering with enterprises globally across Europe and the US.Our Team: Our team comprises over 20 highly skilled engineers and researchers, meticulously selected from a pool of over 5,000 applicants. With backgrounds from top-tier organizations 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 esteemed AI researchers, including Bernhard Schölkopf and Turing Award recipient Yann LeCun. Discover more about our team here.What’s Ahead: Supported by premier investors and leaders from Hugging Face, DeepMind, and Silo AI, we are expanding rapidly. Now is the perfect time to join us and help shape the future of structured data AI. Explore our manifesto.Role OverviewAs a member of our data science team, you will work with a revolutionary class of AI models. In the position of Data Scientist at Prior Labs, you will act as a vital bridge between our cutting-edge technology and its practical applications. You will be a super-user of our foundation models, gaining a profound understanding of their capabilities, presenting compelling use cases, and influencing our product roadmap.This multifaceted role will require you to take on various responsibilities and connect different facets of our organization. Here’s how you will make an impact:Power User & Innovator: Engage deeply with our innovative TFMs (such as TabPFN), experiment extensively with unique features like ICL, and discover new applications.

Turner Townsend is seeking a Project Director in Berlin to oversee data centre projects from initial planning through completion. This senior position carries responsibility for managing the entire project lifecycle, with a focus on delivering work that meets deadlines, stays within budget, and achieves quality standards. Key responsibilities Lead and coordinate teams from different disciplines across all phases of each project Work directly with clients to clarify requirements and maintain strong working relationships Manage communication and expectations among stakeholders Apply established project management methods to ensure reliable and high-quality results Ensure projects comply with industry regulations and standards Role impact This position shapes the delivery of data centre infrastructure for clients, making sure each project meets technical and regulatory standards while supporting broader business goals. Requirements Significant experience in project management, ideally with data centre projects Strong understanding of project management principles Commitment to meeting deadlines, budgets, and quality benchmarks

Join Eversana as a Medical Science Liaison, where you will play a pivotal role in bridging the gap between innovative science and healthcare professionals. In this position, you will engage with key opinion leaders, providing them with the latest scientific insights and supporting their efforts in improving patient outcomes.

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 Veeva Systems as a Data Consultant and leverage your expertise in data analysis and management to drive impactful solutions across the European market. In this role, you will collaborate with cross-functional teams to enhance data accessibility and usability, empowering clients to make informed decisions.

Role Overview airapps is looking for a Data Analyst to join the team in the Berlin Metropolitan Area. This role focuses on turning data into insights that guide decisions and shape strategy. What You Will Do Work with teams across the company to identify data needs and opportunities Analyze raw data and translate findings into clear, actionable recommendations Support product improvements and help increase customer satisfaction through data-driven suggestions Location Berlin Metropolitan Area

Join zenjob as a Senior Data Analyst in Berlin and play a pivotal role in shaping our data-driven strategy. You will be responsible for analyzing complex datasets, generating insights, and presenting actionable recommendations to stakeholders. Your expertise will guide our business decisions and enhance operational efficiency.

Transform the Travel ExperienceEmbark on a career journey with GetYourGuide, where our mission is to connect travelers with unforgettable experiences worldwide. Millions trust us for unique activities, and we are dedicated to making every journey remarkable, including yours.Are you ready to unlock your potential alongside a community of passionate explorers? Discover your next opportunity at our Berlin headquarters or in one of our global offices, from New York to Bangkok. Begin your adventure at getyourguide.careers.Team MissionThe Analytics department aims to empower the organization to act on data. We tackle a variety of challenges and datasets as integral members of cross-functional teams, owning the analytics funnel from exploration to impact measurement, and take pride in the insights we provide.In your role as a Senior Data Analyst within the Product Analytics team, you will influence measurement, strategy, and tactical decisions at GetYourGuide. You will address challenges such as optimizing inventory display for travelers, enhancing exploration and comparison capabilities, and assessing the quality of customer experiences during trips.Your MissionConduct quantitative analyses to understand customer challenges and inform product decisions.Collaborate with the Traveler group to evaluate the impact of features through experimental design and analysis.Identify opportunities and dependencies in collaboration with stakeholders.Work closely with Product and Engineering leads to develop a thorough understanding of the complete product experience.Design and implement data models, metrics, and dashboards to support the team’s product strategy and success.Assist technical teams in tracking and generating insightful data.Promote a culture of learning and experimentation within the company through hypothesis-driven product development and assessment.Explore significant questions to deepen our understanding of customers.Act as a thought partner to the Product Manager in strategic discussions.Your Toolkit5+ years of experience in data interpretation within analytics or data science roles.Experience working with agile product teams.

Veeva Systems is a visionary organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue in the last fiscal year, with substantial growth opportunities ahead.At Veeva, our core values are pivotal to our success: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; in 2021, we made history by becoming a public benefit corporation (PBC), committed to balancing the interests of customers, employees, society, and investors.As a Work Anywhere organization, we promote flexibility in your work environment, whether at home or in the office, empowering you to thrive.Join us in transforming the life sciences industry, as we strive to create a positive impact on our customers, employees, and communities.Role OverviewThis is a unique opportunity to architect the data engine that drives Veeva Link. As the Engineering Manager for the Healthcare Organization (HCO) team, you will go beyond traditional management; you will tackle intricate data challenges.Our datasets have extensive dependencies across various products. Your mission will be to define and develop resilient data pipelines that navigate this complexity while ensuring both local autonomy and global coherence. You will lead a high-performing team in creating a scalable, modern platform utilizing Apache Spark, Lakehouses, and AWS Redshift.If you are passionate about leading a team where technical architecture and talent development harmoniously converge, this position is perfect for you.

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

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.

Veeva Systems is a mission-driven organization at the forefront of industry cloud solutions, dedicated to accelerating the delivery of therapies to patients in the life sciences sector. As one of the fastest-growing SaaS companies globally, we achieved over $2 billion in revenue in our last fiscal year, with promising growth opportunities ahead.Our core values define us: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just a public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors.At Veeva, we embrace a Work Anywhere philosophy, allowing you the flexibility to work from home or in the office, ensuring that you can thrive in your preferred environment.Join us in transforming the life sciences industry, with a commitment to making a meaningful impact on our customers, employees, and communities.The RoleAs the Data Extraction Manager for Veeva OpenData Commercial, you will lead a dynamic team of 6-8 data analysts focused on extracting and processing website data. Your team will utilize our proprietary toolchain to configure crawlers for data extraction, which will subsequently be processed using Python scripts on our data platform. This position plays a crucial role in ensuring data freshness and availability for our customers, directly contributing to their success. In addition to managing crawlers, your team will also engage in classic analytical tasks such as generating ad-hoc reports and visualizations.

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.

Veeva Systems is a mission-driven leader in the industry cloud, dedicated to accelerating the delivery of therapies to patients. As one of the fastest-growing SaaS companies, our revenue exceeded $3 billion last fiscal year, with promising growth opportunities on the horizon. Guided by our core values—Do the Right Thing, Customer Success, Employee Success, and Speed—we achieved a historic milestone in 2021 by becoming a public benefit corporation (PBC), committed to balancing the interests of our customers, employees, society, and investors. As a Work Anywhere company, we prioritize your flexibility to work from home or in the office, fostering an environment where you can excel. Join us in transforming the life sciences industry, as we strive to create positive impacts for our customers, employees, and communities.The RoleAs a key member of the Veeva Link product team, you will contribute to our goal of becoming the global leader in deep data for life sciences. We are seeking a meticulous and seasoned Data Analyst who will be instrumental in establishing a robust data governance framework, ensuring the accuracy, completeness, and integrity of our data assets. Your responsibilities will include implementing data quality monitoring processes, identifying the root causes of data discrepancies, and collaborating with cross-functional teams to address data inconsistencies.To excel in this position, you should possess strong skills in SQL and Python for data manipulation and automation. You should be proficient in working with large datasets, designing insightful dashboards with actionable insights, and applying statistical methodologies to enhance data quality.The ideal candidate will have a background in creating documentation such as process manuals and data collection guidelines, and will actively contribute to the development of data governance policies and best practices.