[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fblTKDs4S4Z8cuaOfhfx1vIWjz0i6GQLniFKH1KLjS6k":3,"$fY7GIJVVAVAlL9eGTSy7F_V1B-37MUZnoFKNaiZclUu0":34},{"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":10,"language":15,"salary_min":16,"salary_max":17,"salary_currency":18,"salary_type":19,"skills":20,"benefits":10,"description_short":26,"source_url":27,"apply_url":27,"source_site":28,"is_active":29,"is_featured":30,"views_count":31,"click_count":31,"posted_at":32,"collected_at":33,"expires_at":10,"visa_sponsorship":30,"company_size":10},50159,"director-product-analytics-ethos-f966355f4466","Director, Product Analytics","Ethos","https:\u002F\u002Fcdn-images.himalayas.app\u002Fa4fjkjzcrawlbj8pfdoc635df2y3","Data",null,"full-time","lead","remote","United States","en",184000,324000,"USD","yearly",[21,22,23,24,25],"Product-Analytics","Analytics-Director","Data-&-Analytics-Leadership","Growth-Analytics","Product-Insights","\u003Ch3>\u003Cstrong>About \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> is a leading life insurance technology company on a mission to protect families by democratizing access to life insurance and empowering agents at scale. With its robust three-sided technology platform, \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> is transforming the life insurance experience for consumers, agents, and carriers alike. \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> offers instant, accessible products and a seamless online process that requires no medical exams and just a few health questions; it eliminates traditional barriers, making it easier than ever for everyone to protect their families. \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> is redefining how life insurance is bought, sold, and underwritten.\u003C\u002Fp>\u003Ch3>About the Role\u003C\u002Fh3>\n\nThis is a senior leadership role built around judgment, strategic impact, and deep analytical craft — and the ability to build the team that scales it. You own product analytics strategy for \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> and sit at the table where the company's biggest growth bets get made. The roadmap, the experiment portfolio, and the metrics the executive team runs the business on — those are yours to shape.\n\nIt starts with genuine awareness of our customers, our business, and the dynamics that drive growth. That awareness is your core asset. You use it to identify the highest-leverage questions, spot opportunities the business hasn't seen yet, and show up in product and leadership conversations with clear recommendations that change what gets built.\n\nThe AI infrastructure we've built changes what's possible for someone in this role. Mechanical analysis moves faster than ever. That frees you — and your team — to operate at a higher level: training our systems on what good looks like, reviewing and sharpening their output, and bringing the judgment no model can replicate. We're further along than most, but there's no finished playbook for this yet. You'd be shaping it.\n\nYou go deep in analytics, experimentation, and growth. AI gives you the reach. The team gives you the scale.\n\nYou'll own the product analytics charter across multiple high-impact product lines — partnering directly with product, design, engineering, and executive leadership, and developing a team of analysts who do the same. Nobody has fully cracked how AI transforms product analytics. We're transitioning fast, the foundations are real, and this role has a direct line to the metrics that establish whether \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> wins the next phase of the market. The impact is as big as you make it.\u003Ch3>Duties and Responsibilities\u003C\u002Fh3>\u003Cul>\u003Cli>\nInsight that drives product decisions. You identify the highest-leverage questions, build the frameworks to answer them, and bring clear recommendations to product and leadership. PMs and executives make different decisions because you're in the room.\u003C\u002Fli>\u003Cli>\nPlayer-coach leadership. You manage and develop a team of product analysts across our highest-priority charters. You take the hardest, highest-leverage work yourself — and make everyone around you better at theirs through hiring, coaching, and the standards you set.\u003C\u002Fli>\u003Cli>\nAccountable for growth outcomes. You're measured on the business impact of the decisions analytics influences — conversion, retention, revenue per lead — not on the volume of analyses produced. You operate across product areas, experiments, and data sources, surfacing patterns and strategic bets that siloed analysis misses, and you shift how leadership thinks about growth.\u003C\u002Fli>\u003Cli>\nDeep customer and business awareness. You build a rich model of how customers behave, what drives conversion and retention, and where growth opportunities live. That model shapes everything from long-term roadmap bets to the micro-decisions made in weekly product reviews.\u003C\u002Fli>\u003Cli>\nExperimentation at portfolio scale. Own experiment strategy across your product areas — design, guardrails, interpretation, and the cross-experiment patterns that reveal the bigger picture no single test shows.\u003C\u002Fli>\u003Cli>\nAI system quality and judgment. Our agents pull data, read configs, and produce draft analyses. You own the quality of that output across the team — validating it, sharpening it, and training the system over time. Human judgment over AI judgment. Always.\u003C\u002Fli>\u003Cli>\nRaising the bar for the entire team. You set the standard for how AI and analytical rigor work collaboratively. When you find a better way to validate an experiment, pressure-test a metric, or get signal from AI faster — you make it the team's new baseline, and you make sure the team can execute it without you.\u003C\u002Fli>\u003C\u002Ful>\nQualifications and Skills\u003Cul>\u003Cli>\n10+ years of product analytics experience in consumer-facing, high-growth environments\u003C\u002Fli>\u003Cli>\n3+ years managing product analysts, with a track record of hiring, developing, and retaining top talent — and a player-coach disposition that keeps you close to the work\u003C\u002Fli>\u003Cli>\nYou don't wait for a spec. You notice the gap, frame the question, build the answer, and land the insight with the right audience. You progress at 5x the velocity of a traditional analyst — not by cutting corners, but by leveraging every tool available. When you solve a problem, you solve it for the team.\u003C\u002Fli>\u003Cli>\nYou've changed what gets built, not just reported on what shipped.\u003C\u002Fli>\u003Cli>\nDeep expertise in experiment design, causal inference, and power analysis — combined with daily use of AI tools and a clear-eyed awareness of where they accelerate, where they hallucinate, and where human judgment is non-negotiable.\u003C\u002Fli>\u003Cli>\nYou can make an executive care about a p-value and a data engineer care about a business metric. You write clearly, present with conviction, and know when a Slack message beats a slide deck.\u003C\u002Fli>\u003Cli>\nComfortable across the modern analytics stack (Snowflake, dbt, Amplitude, Hex, Mode). Robust SQL foundations — not because you'll write every query by hand, but because you need to reason through data reasoning, validate AI-generated output, and debug when something's off.\u003C\u002Fli>\u003C\u002Ful>\n\nThe US national base salary range for this full-time position is $184,000 - $324,000. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.\n\nPlease note that the compensation details listed in US role postings reflect the base salary only and do not include applicable bonus, equity, or benefits.\n\nYou can find further details of our US benefits at \u003Ca href=\"https:\u002F\u002Fwww.ethoslife.com\u002Fcareers\u002F\" rel=\"nofollow ugc noopener noreferrer\">https:\u002F\u002Fwww.ethoslife.com\u002Fcareers\u002F\u003C\u002Fa>\n\u003Cp>Don’t meet every single requirement? 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. At \u003Ca href=\"https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\">Ethos\u003C\u002Fa> we are dedicated to building a diverse, inclusive and authentic workplace.\u003C\u002Fp>\u003Cp>We are an equal opportunity employer.. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Pursuant to the SF Fair Chance Ordinance, we will consider employment for qualified applicants with arrests and conviction records.\u003C\u002Fp>\u003Cp>To learn more about what information we collect and how it may be used, please refer to our \u003Ca href=\"https:\u002F\u002Fres.cloudinary.com\u002Fgetethos\u002Fimage\u002Fupload\u002Fv1684458868\u002F00_CMS\u002FCURRENT_CRPA_Privacy_Notice_for_Job_Applicants_05-23.docx_-_Google_Docs_lr4j43.pdf\" rel=\"nofollow ugc noopener noreferrer\">California Candidate Privacy Notice\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>\u003Cem>\u003Cstrong>Recruitment Notice: Please be aware of recruitment scams. All legitimate communication from our team will only come from email addresses ending in @ethos.com or @getethos.com.\u003Cbr>We will never ask for payment, banking details, or sensitive personal information during the hiring process. If you are contacted by someone claiming to represent us from a different email address, please treat it as fraudulent.\u003C\u002Fstrong>\u003C\u002Fem>\u003C\u002Fp>\u003Cp>Originally posted on \u003Ca href=\"https:\u002F\u002Fhimalayas.app\">Himalayas\u003C\u002Fa>\u003C\u002Fp>","https:\u002F\u002Fhimalayas.app\u002Fcompanies\u002Fethos\u002Fjobs\u002Fdirector-product-analytics","himalayas",true,false,0,"2026-05-22T11:03:12.346306+00:00","2026-05-22T11:05:28.561535+00:00",{"jobs":35,"total":90,"facets":91},[36,53,69,82],{"id":37,"slug":38,"title":39,"company":40,"company_logo_url":41,"category":9,"subcategory":10,"job_type":11,"experience_level":42,"remote_type":13,"country":43,"city":10,"language":15,"salary_min":10,"salary_max":10,"salary_currency":18,"salary_type":19,"skills":44,"benefits":10,"description_short":49,"source_url":50,"apply_url":50,"source_site":28,"is_active":29,"is_featured":30,"views_count":31,"click_count":31,"posted_at":51,"collected_at":52,"expires_at":10,"visa_sponsorship":30,"company_size":10},54409,"senior-marketing-data-scientist-mozilla-2960d681d4d7","Senior Marketing Data Scientist","Mozilla","https:\u002F\u002Fcdn-images.himalayas.app\u002F5nhwmjwruc9guodan3cbix30c58w","senior","Remote",[45,46,47,21,48],"Data-Science","Marketing-Analytics","Data-Analysis","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","2026-05-23T11:04:58.426743+00:00","2026-05-23T11:06:49.275247+00:00",{"id":54,"slug":55,"title":56,"company":57,"company_logo_url":10,"category":9,"subcategory":10,"job_type":11,"experience_level":10,"remote_type":58,"country":59,"city":10,"language":15,"salary_min":10,"salary_max":10,"salary_currency":60,"salary_type":10,"skills":61,"benefits":10,"description_short":64,"source_url":65,"apply_url":65,"source_site":66,"is_active":29,"is_featured":30,"views_count":31,"click_count":31,"posted_at":67,"collected_at":68,"expires_at":10,"visa_sponsorship":30,"company_size":10},54102,"computer-vision-engineer-m-w-d-cerpro-gmbh-7121d833e3b2","Computer Vision Engineer (m\u002Fw\u002Fd)","Cerpro GmbH","onsite","Berlin","EUR",[62,63],"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":70,"slug":71,"title":72,"company":73,"company_logo_url":10,"category":9,"subcategory":74,"job_type":11,"experience_level":10,"remote_type":58,"country":75,"city":76,"language":15,"salary_min":10,"salary_max":10,"salary_currency":60,"salary_type":19,"skills":10,"benefits":10,"description_short":77,"source_url":78,"apply_url":78,"source_site":79,"is_active":29,"is_featured":30,"views_count":31,"click_count":31,"posted_at":80,"collected_at":81,"expires_at":10,"visa_sponsorship":30,"company_size":10},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":83,"slug":84,"title":85,"company":86,"company_logo_url":10,"category":9,"subcategory":74,"job_type":11,"experience_level":10,"remote_type":58,"country":75,"city":76,"language":15,"salary_min":10,"salary_max":10,"salary_currency":60,"salary_type":19,"skills":10,"benefits":10,"description_short":87,"source_url":88,"apply_url":88,"source_site":79,"is_active":29,"is_featured":30,"views_count":31,"click_count":31,"posted_at":89,"collected_at":81,"expires_at":10,"visa_sponsorship":30,"company_size":10},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":92,"mode":114,"experience":118,"type":123},{"Engineering":93,"Sales":94,"Design":95,"DevOps":96,"Product":97,"Operations":98,"Customer Support":99,"HR":100,"Education":101,"Marketing":102,"Writing":103,"Finance":104,"Healthcare":105,"Other":106,"Data":90,"Legal":107,"Hospitality":108,"Construction":109,"Retail":110,"Logistics":111,"Government":112,"Manufacturing":113},5535,1404,466,131,284,1628,437,650,1430,910,26,1505,3704,9154,536,1786,1273,815,2068,398,382,{"remote":115,"onsite":116,"hybrid":117},43,108,6,{"senior":119,"mid":120,"lead":121,"entry":122},30,7,12,3,{"full-time":124,"contract":125,"part-time":125},153,2]