[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f8Z4aZyyUPFyQ_w9Twm-KVAZskE02O6oxkJRV78pQBgw":3,"$fY7GIJVVAVAlL9eGTSy7F_V1B-37MUZnoFKNaiZclUu0":27},{"id":4,"slug":5,"title":6,"company":7,"company_logo_url":8,"category":9,"subcategory":10,"job_type":11,"experience_level":12,"remote_type":13,"country":14,"city":15,"language":16,"salary_min":15,"salary_max":15,"salary_currency":17,"salary_type":18,"skills":15,"benefits":15,"description_short":19,"source_url":20,"apply_url":20,"source_site":21,"is_active":22,"is_featured":23,"views_count":24,"click_count":24,"posted_at":25,"collected_at":26,"expires_at":15,"visa_sponsorship":23,"company_size":15},33626,"senior-data-scientist-product-insights-catawiki-865bc40df1b8","Senior Data Scientist – Product Insights","Catawiki","https:\u002F\u002Fjobicy.com\u002Fdata\u002Fserver-nyc0409\u002Fgalaxy\u002Fmercury\u002F2025\u002F06\u002F77d018df-221.png","Data","Data Science & Analytics","full-time","senior","remote","Netherlands",null,"en","USD","yearly","\u003Cp>At Catawiki, every day brings the extraordinary! Whether it’s \u003Ca href=\"https:\u002F\u002Fwww.catawiki.com\u002Fen\u002Fc\u002F583-sports-memorabilia\" rel=\"nofollow ugc noopener\">Daniel Ricciardo’s Formula 1 Car\u003C\u002Fa>, a \u003Ca href=\"https:\u002F\u002Fwww.catawiki.com\u002Fen\u002Fc\u002F579-fossils\" rel=\"nofollow ugc noopener\">Woolly Mammoth’s Skeleton\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.catawiki.com\u002Fen\u002Fl\u002F10035805\" rel=\"nofollow ugc noopener\">Lady Gaga's Jumpsuit\u003C\u002Fa> or \u003Ca href=\"https:\u002F\u002Fwww.catawiki.com\u002Fen\u002Fc\u002F583-sports-memorabilia\" rel=\"nofollow ugc noopener\">Usain Bolt’s running shoe\u003C\u002Fa>, we encounter exceptional objects every day.\u003C\u002Fp>\n\u003Cp>We're a one-of-a-kind marketplace for buying and selling special objects! Each week we offer over 75,000 unique items in auction \u003Cem>,\u003C\u002Fem> carefully curated by our passionate in-house experts.\u003C\u002Fp>\n\u003Cp>Having sold over 20 million unique objects to date, we’re on a mission to become the world’s most popular destination for special objects. As a growing, diverse and sustainable scale-up, we proudly live by our core values: \u003C\u002Fp>\n\u003Cul>\n\u003Cli>Taking ownership and driving impact\u003C\u002Fli>\n\u003Cli>Being open to change and feedback\u003C\u002Fli>\n\u003Cli>Being passionate about our mission and our customers.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>If these values resonate with you, we’d love to explore how you can join us on this exciting journey! \u003C\u002Fp>\n\u003Ch2>About the role and team\u003C\u002Fh2>\n\u003Cp>With thousands of active lots every day, hundreds of thousands of daily bids, millions of users, and billions of events, the Catawiki platform generates vast amounts of data every day. All this data is being collected and stored, and used extensively by our team of 19 data scientists and engineers that want to build a better company by using data in a smart way. At Catawiki, we believe in using data for making decisions, and the Data Science & Analytics team plays a central role in that. \u003C\u002Fp>\n\u003Cp>We are looking for a \u003Cstrong>Senior Data Scientist - Product Insights\u003C\u002Fstrong> to work with our Product teams and leverage data to identify user journey opportunities and measure success of our product features and teams. \u003C\u002Fp>\n\u003Cp>You will be part of the Data Science Product Insights Team helping us make sense of our data, finding actionable insights and creating self-service opportunities by combining data from multiple sources and working closely together with your colleagues in other departments.\u003C\u002Fp>\n\u003Cp>In this role no two days will be the same: you will build dashboards, design and analyse A\u002FB tests, uncover trends in user behaviour, collaborate with your Data colleagues on discovery for a new ML model, or enhance the reliability of our data pipelines. Whatever the task, you’ll play a pivotal role in shaping Catawiki’s product solutions and deliver real impact.\u003C\u002Fp>\n\u003Ch2>What You’ll Do\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Own analytics for a broad product area\u003C\u002Fstrong> – Unlike at larger companies where analytics roles are more specialized, at Catawiki, you’ll take full ownership of a major part of the platform. This could mean leading analytics for all buyer-facing features, all seller-facing experiences, or everything related to fulfillment. You’ll build strong relationships with stakeholders and proactively identify opportunities by deeply understanding Catawiki’s user behavior.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Turn data into insights and recommendations\u003C\u002Fstrong> – You’ll go beyond tracking metrics—you’ll define and refine key success measures, uncover trends, and translate data into clear recommendations. Your insights will help shape Product decisions, flag opportunities, and drive the strategy forward. Through dashboards and reports, you’ll make sure the right information is always at hand to guide the business.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Leverage advanced analytics\u003C\u002Fstrong> – Using techniques like regression analysis, causal inference, and A\u002FB testing, you’ll analyze user behavior, identify actionable insights, and evaluate the effectiveness of new features to ensure continuous improvement.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Enable data-driven decision-making at scale\u003C\u002Fstrong> – You’ll identify and implement self-service data solutions that empower Product teams to make informed decisions faster. Beyond Product analytics, you’ll contribute to foundational data projects like building scalable data pipelines, improving data accessibility, and expanding our A\u002FB Experimentation program.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2>Who You Are\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Experienced data leader\u003C\u002Fstrong> – You have a strong quantitative background and 6+ years of experience in data science or analytics, ideally in an online company. You’re comfortable owning complex projects and guiding teams in data-driven decision-making.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Advanced technical skills\u003C\u002Fstrong> – You're highly proficient in SQL and experienced in writing code to transform data into insights, whether in Python, R, or another language. You can handle large datasets, optimize data pipelines, and work with tools like Looker Studio, Tableau, Power BI, and data transformation tools like dbt or Dataform.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Deep statistical expertise\u003C\u002Fstrong> – You have a strong grasp of statistics and apply advanced techniques like regression analysis, causal inference, time series modeling, and hypothesis testing to extract meaningful insights and drive impact.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Web and app analytics\u003C\u002Fstrong> – You have extensive experience with tracking tools like Google Analytics (GA) and Google Tag Manager (GTM), and can design, implement, and validate measurement strategies.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Experimentation and impact analysis\u003C\u002Fstrong> – You have hands-on experience designing and evaluating A\u002FB tests and other experiments, ensuring robust methodologies that lead to actionable insights.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Strategic problem solver\u003C\u002Fstrong> – You go beyond analyzing data—you proactively identify opportunities, define success metrics, and influence business and product strategy through data-driven recommendations.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Strong communicator and mentor\u003C\u002Fstrong> – You work effectively with leadership, engineers, and product teams, translating complex data insights into clear recommendations. You also enjoy mentoring junior data scientists and fostering a data-driven culture.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Proactive and entrepreneurial mindset\u003C\u002Fstrong> – You take ownership, solve problems autonomously, and drive initiatives forward—even when it means stepping outside your comfort zone.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2>Where You’ll Be\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>This role is based in our Amsterdam office, in the Netherlands.\u003C\u002Fstrong> \u003C\u002Fp>\n\u003Ch2>Why You'll Love Working with Us\u003C\u002Fh2>\n\u003Cul>\n\u003Cli>\u003Cstrong>Create a Visible Impact\u003C\u002Fstrong> by working at scale in a global organisation that serves millions of customers across 80+ categories. In our flat structure, every role has a broad scope that directly impacts both our customers and the business.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Learn and Grow with Us\u003C\u002Fstrong> through our Learning & Development initiatives, which include clear development plans and mentorship programmes designed to support your career progression.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>A Culture of Connection\u003C\u002Fstrong> defines us. We’re a passionate, diverse and collaborative team of 800+ Catawikains and 60+ nationalities, all coming together to build a one-of-a-kind marketplace. We foster an inclusive and queer-friendly work environment, committed to making every Catawikian feel welcomed and empowered. Whatever your story, we encourage you to bring your unique perspective to our team.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Celebrate Life’s Moments\u003C\u002Fstrong> with us at Catawiki. When you join us, you’ll receive a €100 Catavoucher, and on each birthday, you'll get a €50 Catavoucher to celebrate. Enjoy an extra day off each year to \"Pursue Your Passion\". We also recognise significant work anniversaries (3, 5, 8, 10 years) with additional time off, plus extra leave for life’s big moments like marriage, engagements, or moving house.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Please note that benefits can vary by location. For specific information regarding what’s available in your country, please consult your recruiter.\u003C\u002Fp>\n\u003Ch2>Our Offices and Way of Working\u003C\u002Fh2>\n\u003Cp>Our vibrant offices in Amsterdam, Paris and Lisbon are designed to inspire and connect. Most Catawikians are within commuting distance of one of our offices and enjoy the flexibility of a hybrid work model. This means that you will be in the office 2 out of 5 days (40% of your working time) to collaborate and connect with your colleagues. That said, some roles may be an exception: if the job description states that the position is fully remote or 100% office-based, that arrangement will apply instead. \u003C\u002Fp>\n\u003Ch2>Interested?\u003C\u002Fh2>\n\u003Cp>Apply directly with an English CV and cover letter by submitting your information at the bottom of this page. By submitting your application you agree to \u003Ca href=\"https:\u002F\u002Fwww.catawiki.com\u002Fconditions\u002Fapplicant-privacy-policy.pdf\" rel=\"nofollow ugc noopener\">Catawiki’s Applicant Privacy Policy\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cem>If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.\u003C\u002Fem>\u003C\u002Fp>","https:\u002F\u002Fjobicy.com\u002Fjobs\u002F144140-senior-data-scientist-product-insights","jobicy",true,false,0,"2026-05-18T10:38:04+00:00","2026-05-18T14:44:52.892026+00:00",{"jobs":28,"total":84,"facets":85},[29,47,63,76],{"id":30,"slug":31,"title":32,"company":33,"company_logo_url":34,"category":9,"subcategory":15,"job_type":11,"experience_level":12,"remote_type":13,"country":35,"city":15,"language":16,"salary_min":15,"salary_max":15,"salary_currency":17,"salary_type":18,"skills":36,"benefits":15,"description_short":42,"source_url":43,"apply_url":43,"source_site":44,"is_active":22,"is_featured":23,"views_count":24,"click_count":24,"posted_at":45,"collected_at":46,"expires_at":15,"visa_sponsorship":23,"company_size":15},54409,"senior-marketing-data-scientist-mozilla-2960d681d4d7","Senior Marketing Data Scientist","Mozilla","https:\u002F\u002Fcdn-images.himalayas.app\u002F5nhwmjwruc9guodan3cbix30c58w","Remote",[37,38,39,40,41],"Data-Science","Marketing-Analytics","Data-Analysis","Product-Analytics","Marketing-Sciences","To learn the Hiring Ranges for this position, please select your location from the \u003Cstrong>Apply Now\u003C\u002Fstrong> dropdown menu.\u003Cp>To learn more about our Hiring Range System, please click this \u003Ca href=\"https:\u002F\u002Fdocs.google.com\u002Fdocument\u002Fd\u002F1ylUe7Ou0EbsOtGRBtUv1sSld3lbZ4mrYzo59tEkSjY8\u002Fedit?usp=sharing\" rel=\"nofollow ugc noopener noreferrer\">\u003Cstrong>link.\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\u003Ch3>Why \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa>?\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Corporation is the non-profit-backed technology company that has shaped the internet for the better over the last 25 years. We make pioneering brands like Firefox, the privacy-minded web browser. Now, with more than 225 million people around the world using our products each month, we’re shaping the next 25 years of technology and helping to reclaim an internet built for people, not companies. Our work focuses on diverse areas including AI, social media, security and more. And we’re doing this while never losing our focus on our core mission – to make the internet better for people. \u003C\u002Fp>\u003Cp>The \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Corporation is wholly owned by the non-profit 501(c) \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> Foundation. This means we aren’t beholden to any shareholders — only to our mission. Along with thousands of volunteer contributors and collaborators all over the world, Mozillians design, build and distribute \u003Cstrong>open-source\u003C\u002Fstrong> software that enables people to enjoy the internet on their terms. \u003C\u002Fp>\u003Ch3>About this team and role:\u003C\u002Fh3>\u003Cp>The Marketing Data Science team sits within the broader Product Data Science organization and provides comprehensive analytical support and thought partnership to Marketing to guide responsible and effective investment decisions. Our work centers on end-to-end measurement solutions that seek to quantify the true return of our marketing efforts—touching measurement instrumentation, data modeling, experiment design, execution, and the translation of insights into actionable recommendations. Beyond measurement, we support KPI forecasting, budget allocation, self-service reporting, and a wide range of advanced statistical modeling solutions.\u003C\u002Fp>\u003Cp>As a Senior Data Scientist, you will take a hands-on role in answering complex marketing questions and navigating a dynamic, often imperfect data environment. You will leverage your strong analytical skills, technical depth, and business domain understanding to uncover insights, refine existing tactics, and help identify new opportunities to enhance Marketing’s impact.\u003C\u002Fp>\u003Ch3>What you’ll do: \u003C\u002Fh3>\u003Cul>\u003Cli>Own marketing tests end-to-end, leveraging and contributing to our Python-based measurement workflows.\u003C\u002Fli>\u003Cli>Collaborate with senior ICs to address critical data infrastructure needs, support org-wide migrations, and develop new analytical and measurement solutions.\u003C\u002Fli>\u003Cli>Develop reporting and monitoring tools that surface business insights and increase visibility into marketing performance and impact.\u003C\u002Fli>\u003Cli>Conduct deep-dive analyses to investigate questions related to performance, audiences, monetization, attribution, and data integrity.\u003C\u002Fli>\u003Cli>Provide flexible analytical support across the team’s project portfolio, taking high-level direction from senior ICs while independently owning specific components of the solution.\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>What you’ll bring: \u003C\u002Fh3>\u003Cul>\u003Cli>2–3 years of experience conducting quantitative analyses, ideally within a marketing or growth environment.\u003C\u002Fli>\u003Cli>Master’s degree or higher in a computer, mathematical, physical, life, or social science discipline (preferred).\u003C\u002Fli>\u003Cli>Strong SQL skills and experience working with relational databases (e.g., BigQuery, Redshift) to extract, transform, and synthesize data.\u003C\u002Fli>\u003Cli>Proficiency with visualization and reporting tools, such as Python, Looker, or Redash, and experience building clear, actionable reporting solutions.\u003C\u002Fli>\u003Cli>Knowledge of core statistical methods used for hypothesis testing and analytical inference.\u003C\u002Fli>\u003Cli>Experience with geo experiments or synthetic control models (e.g., CausalImpact, GeoLift) is a plus.\u003C\u002Fli>\u003Cli>Familiarity with digital marketing and measurement platforms (e.g., Google Analytics, Google Ads, Meta Business Suite) is a plus.\u003C\u002Fli>\u003Cli>Strong analytical and problem-solving skills, with the ability to translate data into clear insights, recommendations, and next steps, communicated concisely and transparently.\u003C\u002Fli>\u003Cli>Commitment to our values:\u003C\u002Fli>\u003Cul>\u003Cli>Welcoming differences\u003C\u002Fli>\u003Cli>Being relationship-minded\u003C\u002Fli>\u003Cli>Practicing responsible participation\u003C\u002Fli>\u003Cli>Having grit\u003C\u002Fli>\u003C\u002Ful>\u003C\u002Ful>\u003Ch3>What you’ll get:\u003C\u002Fh3>\u003Cul>\u003Cli>Generous performance-based bonus plans to all eligible employees - we share in our success as one team\u003C\u002Fli>\u003Cli>Rich medical, dental, and vision coverage\u003C\u002Fli>\u003Cli>Generous retirement contributions with 100% immediate vesting (regardless of whether you contribute)\u003C\u002Fli>\u003Cli>Quarterly all-company wellness days where everyone takes a pause together\u003C\u002Fli>\u003Cli>Country specific holidays plus a day off for your birthday\u003C\u002Fli>\u003Cli>One-time home office stipend\u003C\u002Fli>\u003Cli>Annual professional development budget\u003C\u002Fli>\u003Cli>Quarterly well-being stipend\u003C\u002Fli>\u003Cli>Considerable paid parental leave\u003C\u002Fli>\u003Cli>Employee referral bonus program\u003C\u002Fli>\u003Cli>Other benefits (life\u002FAD&D, disability, EAP, etc. - varies by country)\u003C\u002Fli>\u003C\u002Ful>\u003Ch3>About \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> \u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. When you work at \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa>, you give yourself a chance to make a difference in the lives of Web users everywhere. And you give us a chance to make a difference in your life every single day. Join us to work on the Web as the platform and help create more opportunity and innovation for everyone online.\u003C\u002Fp>\u003Cp>\u003Cstrong>Commitment to diversity, equity, inclusion, and belonging\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company’s core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, persons of all sexual orientations, gender identities, and expressions.\u003C\u002Fp>\u003Cp>We will ensure that qualified individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment, as appropriate. Please contact us at \u003Ca href=\"mailto:hiringaccommodation@mozilla.com\">hiringaccommodation@mozilla.com\u003C\u002Fa> to request accommodation.\u003C\u002Fp>\u003Cp>We are an equal opportunity employer. We do not discriminate on the basis of race (including hairstyle and texture), religion (including religious grooming and dress practices), gender, gender identity, gender expression, color, national origin, pregnancy, ancestry, domestic partner status, disability, sexual orientation, age, genetic predisposition, medical condition, marital status, citizenship status, military or veteran status, or any other basis covered by applicable laws. \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\">Mozilla\u003C\u002Fa> will not tolerate discrimination or harassment based on any of these characteristics or any other unlawful behavior, conduct, or purpose.\u003C\u002Fp>\u003Ch3>Group: D\u003C\u002Fh3>\u003Ch3>Req ID: R3007\u003C\u002Fh3>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fmozilla\u002Fjobs\u002Fsenior-marketing-data-scientist-5223226088","himalayas","2026-05-23T11:04:58.426743+00:00","2026-05-23T11:06:49.275247+00:00",{"id":48,"slug":49,"title":50,"company":51,"company_logo_url":15,"category":9,"subcategory":15,"job_type":11,"experience_level":15,"remote_type":52,"country":53,"city":15,"language":16,"salary_min":15,"salary_max":15,"salary_currency":54,"salary_type":15,"skills":55,"benefits":15,"description_short":58,"source_url":59,"apply_url":59,"source_site":60,"is_active":22,"is_featured":23,"views_count":24,"click_count":24,"posted_at":61,"collected_at":62,"expires_at":15,"visa_sponsorship":23,"company_size":15},54102,"computer-vision-engineer-m-w-d-cerpro-gmbh-7121d833e3b2","Computer Vision Engineer (m\u002Fw\u002Fd)","Cerpro GmbH","onsite","Berlin","EUR",[56,57],"Data Processing","Data Engineer","\u003Cp>\u003Cstrong>ABOUT CERPRO\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>CERPRO develops AI-based software for the manufacturing industry. Our technology simplifies complex processes, such as the creation of inspection reports, and raises quality standards in production to a new level. In doing so, we help companies work more efficiently and remain competitive in the long term.\u003C\u002Fp>\n\u003Cp>Backed by international investors and early customers, we are scaling our solution from Germany into the global market.\u003C\u002Fp>\n\u003Ch2>Tasks\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>YOUR MISSION AT CERPRO\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Technical drawings are the backbone of the manufacturing industry and at the same time one of the toughest nuts to crack in computer vision: dense layouts, tiny text, hundreds of symbols per sheet, scanned legacy stock alongside clean vector PDFs. This is exactly where you come in. As a Computer Vision Engineer, you build the models that turn these drawings into usable data: dimensions, tolerances, GD&T, surface specifications, welding symbols, bills of materials. You work at the heart of our produc and help decide how far our automation can go.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>YOUR RESPONSIBILITIES\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Models for technical drawings:\u003C\u002Fstrong> You develop and train models for detection, classification, and segmentation of the elements on technical drawings, from individual dimension entries to GD&T symbols to complete title blocks and bills of materials.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>OCR for the technical context:\u003C\u002Fstrong> You build robust OCR pipelines that handle the peculiarities of technical drawings: special characters, rotated text, low resolutions, scanned originals, mixed fonts, and safety-critical dimensions where every digit counts.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Document understanding & layout:\u003C\u002Fstrong> You work on models that understand the structure of a drawing, which annotation belongs to which dimension, which view shows which surface, where the title block ends and the bill of materials begins. For this, you use modern Document-AI approaches and vision-language models.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Data strategy & annotation:\u003C\u002Fstrong> You help decide which data we need, how we collect and annotate it, and where synthetic data can meaningfully extend our training set. You work closely with our annotators and define guidelines.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Evaluation & iteration:\u003C\u002Fstrong> You define meaningful metrics, build evaluation pipelines, and ensure that we improve model quality not just subjectively but measurably. You systematically analyze failure cases and derive the next training cycles from them.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Deployment & performance:\u003C\u002Fstrong> Together with the engineering team, you bring your models into production: latency, cost, and stability are just as important to you as accuracy. Where needed, you optimize models with quantization or ONNX\u002FTensorRT.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Collaboration within the ML team:\u003C\u002Fstrong> You work closely with the rest of the ML team on hybrid approaches in which vision models and rule-based evaluation go hand in hand.\u003C\u002Fp>\n\u003Ch2>Requirements\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>WHAT YOU BRING\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Several years of experience in computer vision and deep learning, ideally in a production environment.\u003C\u002Fli>\n\u003Cli>Strong command of Python and one of the common DL frameworks (PyTorch preferred).\u003C\u002Fli>\n\u003Cli>Practical experience with object detection, segmentation, and\u002For OCR, including training, evaluation, and deployment of your own models.\u003C\u002Fli>\n\u003Cli>Familiarity with modern architectures (e.g. DETR, YOLO variants, SAM, LayoutLM, Donut) and a sense of when which approach fits.\u003C\u002Fli>\n\u003Cli>Experience working with documents (PDFs, scans) is a clear plus, experience with technical drawings, plans, or engineering documents is an even bigger one.\u003C\u002Fli>\n\u003Cli>Structured, results-oriented way of working, you don't just build models, you bring them into production.\u003C\u002Fli>\n\u003Cli>Basic understanding of MLOps topics: versioning, reproducibility, monitoring of models in live operation.\u003C\u002Fli>\n\u003Cli>Business-fluent German or English skills.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch2>Benefits\u003C\u002Fh2>\n\u003Cp>\u003Cstrong>WHY CERPRO?\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Vision:\u003C\u002Fstrong> We aim to transform how an entire industry works worldwide. From day one, you’ll be part of this mission and share in our commitment to give everything to achieve it.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Team Spirit:\u003C\u002Fstrong> Team spirit matters to us, and we make it visible through a strong recognition culture where we regularly celebrate both big and small wins together.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Ownership:\u003C\u002Fstrong> You’re encouraged to take ownership from day one. In a flat hierarchy and high-trust environment, you’ll be empowered to make meaningful decisions and drive real impact.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Learning & Growth:\u003C\u002Fstrong> We invest in your personal and professional development through a strong feedback culture, helping you unlock your full potential.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>AI Enablement:\u003C\u002Fstrong> Our internal tools and workflows are AI-enabled by design. Every team member receives support to apply AI in daily work, including your own Claude Code or Cursor license.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Tech & Tooling:\u003C\u002Fstrong> You’ll receive a new computer (Mac or Windows) and everything else you need, from hardware to tools, to be effective in your daily work.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Recharge:\u003C\u002Fstrong> To ensure proper rest, we offer 30 vacation days per year (based on a 5-day week), plus December 24th off and all local public holidays.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>THE APPLICATION PROCESS\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>We want your candidate experience with us to be smooth, transparent, and enjoyable. We aim to get back to you regarding your application within 5 business days. Our interview process typically takes about 4 weeks from start to finish, though this may vary by role. If you need adjustments or flexibility at any stage, please don’t hesitate to let us know, we’ll do our best to make it work for you.\u003C\u002Fp>\n\u003Cp>Find more \u003Ca href=\"https:\u002F\u002Fwww.arbeitnow.com\u002Fenglish-speaking-jobs\">English Speaking Jobs in Germany\u003C\u002Fa> on Arbeitnow\u003C\u002Fp>","https:\u002F\u002Fwww.arbeitnow.com\u002Fjobs\u002Fcompanies\u002Fcerpro-gmbh\u002Fcomputer-vision-engineer-berlin-256033","arbeitnow","2026-05-23T08:30:43+00:00","2026-05-23T11:06:46.453837+00:00",{"id":64,"slug":65,"title":66,"company":67,"company_logo_url":15,"category":9,"subcategory":68,"job_type":11,"experience_level":15,"remote_type":52,"country":69,"city":70,"language":16,"salary_min":15,"salary_max":15,"salary_currency":54,"salary_type":18,"skills":15,"benefits":15,"description_short":71,"source_url":72,"apply_url":72,"source_site":73,"is_active":22,"is_featured":23,"views_count":24,"click_count":24,"posted_at":74,"collected_at":75,"expires_at":15,"visa_sponsorship":23,"company_size":15},55668,"analytics-reporting-engineer-tenth-revolution-group-61e969dc7cfa","Analytics & Reporting Engineer","Tenth Revolution Group","Unknown","Spain","Arbo, Pontevedra","Desde Tenth Revolution Group buscamos un\u002Fa Analytics & Reporting Engineer (Power BI \u002F SQL) para incorporarse a un proyecto internacional, trabajando en un entorno global altamente analítico y orientado a datos. BarcelonaModelo híbrido: 90% remoto (1 día\u002Fmes en oficina)Idiomas: Inglés fluido B2 \u002F C1Contrato indefinido, proyecto a largo plazoResponsabilidadesDesarrollar, optimizar y mantener dashboards complejos en Power BI.Garantizar la calidad, consistencia y fiabilidad de KPIs, métricas y repo…","https:\u002F\u002Fwww.adzuna.es\u002Fdetails\u002F5737898177?utm_medium=api&utm_source=ac2be355","adzuna","2026-05-22T22:32:07+00:00","2026-05-23T11:06:51.813057+00:00",{"id":77,"slug":78,"title":79,"company":80,"company_logo_url":15,"category":9,"subcategory":68,"job_type":11,"experience_level":15,"remote_type":52,"country":69,"city":70,"language":16,"salary_min":15,"salary_max":15,"salary_currency":54,"salary_type":18,"skills":15,"benefits":15,"description_short":81,"source_url":82,"apply_url":82,"source_site":73,"is_active":22,"is_featured":23,"views_count":24,"click_count":24,"posted_at":83,"collected_at":75,"expires_at":15,"visa_sponsorship":23,"company_size":15},55631,"regulatory-reporting-data-analyst-ing-ef606d237aaa","Regulatory Reporting Data Analyst","ING","At ING we are looking for a Regulatory Reporting Data Analyst A talented and enthusiasticRegulatory Reporting Data Analystto join ourFinancial and Regulatory ReportingTeam. The responsibility of this team is handling the external financial and regulatory reporting data delivery to Bank of Spain and Head-Office. This includes answering ad hoc data requests and maintaining the day-to-day relationship with Head Office. The team also drives continuous improvements in the reporting processes and dat…","https:\u002F\u002Fwww.adzuna.es\u002Fdetails\u002F5737896853?utm_medium=api&utm_source=ac2be355","2026-05-22T22:31:58+00:00",157,{"category":86,"mode":108,"experience":112,"type":117},{"Engineering":87,"Sales":88,"Design":89,"DevOps":90,"Product":91,"Operations":92,"Customer Support":93,"HR":94,"Education":95,"Marketing":96,"Writing":97,"Finance":98,"Healthcare":99,"Other":100,"Data":84,"Legal":101,"Hospitality":102,"Construction":103,"Retail":104,"Logistics":105,"Government":106,"Manufacturing":107},5535,1404,466,131,284,1628,437,650,1430,910,26,1505,3704,9154,536,1786,1273,815,2068,398,382,{"remote":109,"onsite":110,"hybrid":111},43,108,6,{"senior":113,"mid":114,"lead":115,"entry":116},30,7,12,3,{"full-time":118,"contract":119,"part-time":119},153,2]