Senior Data Scientist

Who We Are Workada creates high-quality labeled data for advanced technology systems. Our team reviews, organizes, categorizes, evaluates, and quality-checks digital content so those systems can better understand information and perform real-world tasks. We believe careful data work matters. Every reviewed item, categorized example, and quality-checked task helps improve how technology interprets information, follows instructions, and responds in practical settings. About You We're hiring detail-oriented individuals who are comfortable working on a computer and interested in careful, focused digital work. We're especially interested in: People who can carefully review written information, images, documents, or other digital content Strong readers and writers with good judgment People who can follow detailed instructions consistently Individuals who are comfortable using web-based tools and online platforms People who take quality seriously and can spot mistakes or inconsistencies Those who enjoy focused, independent work while contributing to a larger project Strong character matters — we value integrity, reliability, curiosity, and a commitment to high-quality work Qualifications Comfortable using a computer for extended periods Reliable internet connection Strong attention to detail Ability to follow written guidelines and project instructions Clear written communication skills Basic familiarity with spreadsheets, online forms, or web-based work tools Ability to work independently and meet deadlines Prior experience in data labeling, annotation, quality review, research, writing, customer support, operations, or administrative work is helpful but not required Compensation Compensation is $17 an hour and a max of 40 hours a week. A Place to Do Meaningful Work Data labeling may sound simple, but it plays an important role in improving the technology people use every day. At Workada, your work helps create the examples and feedback that make advanced systems more ac…

$17/hr

Posted 26 Jul 2026

Are you a talented Senior Data Scientist looking for a remote job that lets you show your skills and get decent compensation? Look no further than Lemon.io — the marketplace that connects you with hand-picked startups in the US and Europe. What we offer: The rate depends on your skills and experience. We've already paid out over $11M to our engineers. No more hunting for clients or negotiating rates — let us handle the business side of things so you can focus on what you do best. Choose a schedule that works best for you. It’s possible to communicate async or minimally overlap within team working hours. We respect your seniority so you can expect no micromanagement or screen trackers. Communicate directly with the clients. Most of them have technical backgrounds. Sounds good, yeah? Most of our projects involve working in a fast-paced startup environment. We hope you like it as much as we do. Requirements: 4+ years of commercial experience as a Data Scientist 3+ years of experience with NumPy/Pandas 3+ years of experience with Python Experience with AWS, GCP, or Azure is required Strong technical skills: as a Senior Data Scientist, you are expected to be able to create projects from scratch and have a deep understanding of application architecture. Clear and effective communication in English — advanced ability to discuss business tasks, justify decisions, and communicate issues. Good self-presentation is also essential for upcoming client calls. Strong self-organizational skills — ability to work full-time remotely with no supervision. Reliability — we want to trust you and expect that you won’t let us and the client down. Adaptability and Flexibility — the ability to onboard the project promptly after accepting it and start delivering results quickly. NOT YOUR TECH STACK? We have multiple projects available for Senior Developers. If you have 4+ years of commercial software development experience and are proficient in any of the following areas: AI Engineering, PHP…

Posted 11 Jun 2026