Маєш досвід з анотацією LiDAR / Point Cloud даних і цікавишся сферою AI та ML? Тоді будемо раді бачити тебе в нашій команді Дата Анотаторів! Це шанс долучитись до інноваційних проєктів у галузі Automotive і не тільки. Звучить цікаво? Далі більше 😎 Що ти будеш робити: - Анотувати візуальні 3D-дані (LiDAR / Point Cloud); - Працювати з різними інструментами для розмітки; - Розпізнавати та виділяти об’єкти з високою точністю; - Маркувати та класифікувати деталі; - Чітко слідувати інструкціям; - Дотримуватись дедлайнів та проєктних KPI. Що тобі потрібно: - Обов’язковий досвід з LiDAR-анотацією (Point Cloud annotation); - Англійська від А2 (для читання та розуміння інструкцій); - Увага до деталей; - Швидкість та кмітливість; - Вміння розставляти пріоритети; - Позитивне та відповідальне ставлення до роботи; - Наявність персонального ноутбука/ПК (мінімум 8 Гб RAM) і стабільного інтернету (від 40–50 Мбіт/с). Чому класно бути частиною нашої команди: - Гнучкий графік; - Віддалений формат роботи; - Міжнародні прогресивні проєкти; - Компенсація в доларах США; - Приємні бонуси за запрошення друзів; - Креативна команда професіоналів та відсутність бюрократії. Хто ми? Label Your Data — провідний гравець у сферах ІТ та AI, який з 2020 року надає першокласні сервіси Дата Анотації для інноваційних стартапів та індустріальних гігантів, завдяки прагненню створювати передові технологічні рішення. Понад 100 задоволених клієнтів, міжнародне визнання, численні нагороди та сертифікати, офіси в Україні та по всьому світу, інтернаціональна команда та захопливі, революційні проєкти, що змінюють світ вже сьогодні — все це є нашим успіхом, і ти можеш стати його частиною, відправивши своє резюме вже зараз! Натискай «відгукнутись на вакансію», щоб разом прокладати шлях до нових вершин

• Collect, review, and organize client documents for loan applications • Ensure all required documents are complete and meet compliance standards • Accurately enter client and loan information into the CRM system • Maintain and update records in MyCRM or similar platforms • Follow up with clients, brokers, or relevant parties for missing information • Monitor application progress and keep records up to date • Support the team in meeting processing timelines and service standards

Role Description We’re on a mission to empower individuals to launch successful careers in tech. As our Lead Instructor, you will play a pivotal role in the learning success of our international students. Join WBS CODING SCHOOL, one of Germany's leading tech schools, and help shape the future of tech talent. As Lead Instructor (m/f/d), you are the primary contact person for our students in Data Science and Data Analytics programs at WBS CODING SCHOOL. - You teach engaging topics, conduct hands-on workshops covering topics like Python, SQL, Pandas, Tableau, Machine Learning, and more. - You guide and support students through projects and assignments. - You collaborate with other instructors and contribute to improving our teaching content. - You will provide feedback, mentorship, and motivation throughout the learning journey of the students. - You will take part in student evaluations, final project mentoring, and classroom events. Qualifications - You have 2+ years of practical or instructional experience in Data Science or Data Analytics. - You have a deep understanding and experience with SQL. - You have extensive experience with Python for Data Analysis (NumPy, Pandas, Matplotlib & Seaborn) and Machine Learning (Scikit-Learn, Keras, langchain). - You respond empathetically to your students’ needs. Patience is one of your strong suits. - You love to share your knowledge and experience with the students and the team. - You are highly proficient in English and German, both spoken and written (C1+). Requirements - Ideally, you have some experience with Cloud Computing (Azure, Google Cloud) and know your way around Tableau or a similar tool for data visualization (Looker, PowerBI). - You are capable of performing A/B tests and are familiar with the main concepts around Statistical Inference. - Extended knowledge of adult education and tech industry. Benefits - Be part of a purpose-driven company helping people build life-changing tech careers. - Join a supportive, innovative, and diverse team that values creativity and collaboration. - Enjoy the benefits of a 100% remote workplace (within Germany, Spain or Austria) and up to 180 days outside of Germany, within Europe. - Permanent contract with 30 paid vacation days and an additional half-day on your birthday. - Abundant development opportunities (WBS GRUPPE learning catalog and LinkedIn Learning). - Meet the team in person at least twice a year at our Berlin headquarters.

Title: Technical Director - Data Science (Discovery) Location: San Mateo United States Job Description: Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we're building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We're on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you'll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. WHY DATA SCIENCE & ANALYTICS? The Data Science & Analytics organization's mission is to increase our speed, frequency and acumen of making decisions at scale by instilling a data-influenced approach to building products. We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Aligned and partnering with product verticals, we use this extensive tool belt to discover new opportunities and unmet use cases, influence and shape the product roadmap and prioritization, build data products and measure impact on our community of players and developers. WHY DISCOVERY EXPERIENCES? We're seeking senior data scientists with expertise in machine learning to join our Discovery Experience team. As IC leaders, you'll drive strategic decisions for user growth and product innovation, leveraging all data science toolkits (analytics, experimentation, forecasting, and ML solutions) to improve end-to-end consumer journeys on Roblox. The roles will primarily focus on Discovery Experiences. Discovery surfaces (i.e. home, search, matchmaking, notifications) are critical to fostering engagement and long-term relationships with our platform. The complex network of our two-sided marketplace, combined with the ever-evolving metaverse, presents exciting challenges. This role will report directly into the Senior Director of Data Science (Consumer) and will be based at our headquarters in San Mateo, CA (hybrid, onsite days Tues-Thurs). You Will: - Develop foundational solutions to scale the hypothesis generation process across key user engagement touchpoints. - Contribute directly to the development of ML solutions that power our discovery canvases alongside our sister engineering teams. - Partner closely with Product and engineering leaders to inform, drive and accelerate innovations in discovery experiences via Insights, frameworks, causal inference solutions and machine learning prototypes. - Leverage advanced causal inference methodologies to measure the effectiveness of various initiatives, ranging from Roblox events to social features susceptible to network effects. - Conduct exploratory analysis to identify and advise XFN partners on opportunities for strategic investments. - Design and implement experiments for new features and communicate results succinctly to non-technical audiences. You Have: - Advanced Degree and/or PhD in Statistics, Computer Science, Physics, Applied Math, Economics, or other related quantitative fields - 10+ years of industry experience in data science, economics, analytics, or machine learning engineering - 7+ years of experience using scripting languages (Python, R), and big data query/processing languages and tools such as SQL, Hive, Spark, and Airflow - Knowledge of ML and Deep Learning either via formal training or industry experience - Ability to apply creative first-principles reasoning to solve ambiguous problems - Experience developing large-scale recommendation systems as well as experience with content platforms, specifically user-generated content For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future. All full-time employees are also eligible for equity compensation and for benefits as described on this page. Annual Salary Range $373,680—$430,430 USD Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted). Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.