Guide the development and evolution of Wikimedia's data platforms. This is a leadership role, working in collaboration with data analysts, researchers, and product teams building user-facing features for reading and editing Wikipedia on the web and mobile apps. Manage two product managers and guide the evolution of data pipelines, data lake, experiment platform, and analytics tools. A strong candidate will have deep experience building a data platform and be technically conversant.
Looking for a Data Scientist to join the Security Operations Center Technology (SOCT) squad at DT Technik. You will apply advanced data science techniques to enhance the organization's security posture and protect against evolving cyber threats. As the Data Scientist, you will lead the effort to design and implement machine learning models from the ground up, aimed at identifying anomalies in log data and inventory databases to detect security threats.
Help Shape the Future of AI — On Your Terms. As part of the Welo data, work with global clients to make technology more inclusive through language. We’re growing a global community of linguists, language enthusiasts, and culturally aware contributors. Join us to explore opportunities in annotation, evaluation, and prompt creation — all remote, flexible, and impactful.
This role leads a team of 6-8 data analysts with a strong focus on website data extraction. The team configures crawlers using our toolchain to extract data from websites. The data is handed over to our data platform for processing using Python configuration scripts. The role has a significant impact on customer success, as it is ensuring the freshness and availability of data for our customers.
Driven by data, analytical thinking, and digital transformation, you will help turn numbers into actionable insights for smarter decision-making in procurement, collect, consolidate, and validate purchasing data from ERPs, BI tools, and spreadsheets, prepare and update regular KPI reports and dashboards in SAP Analytics Cloud (SAC), and support ad-hoc data and reporting requests from purchasing and business stakeholders.
Design scalable software systems with a focus on quality, performance, and maintainability. Lead systems architecture decisions, ensuring the design aligns with business requirements and technical standards. Collaborate with Research Leads and Product Owners to gather requirements, design ML pipelines and coordinate the software delivery.
Work with Welo Data, an AI services company, to shape the future of AI on your own terms. Contribute to smarter, more inclusive AI by joining a global community of linguists, language enthusiasts, and culturally aware contributors. Explore remote, flexible, and impactful opportunities in annotation, evaluation, and prompt creation. Apply now by answering a few short questions to join our talent pool.
As a Data Scientist, your mission will be to analyze data, build models, and prototype innovative AI features. You will partner closely with Product, R&D, and GTM teams to scope problems, explore data, and deliver ML-powered solutions that are both technically sound and business-relevant. This is a hands-on role with a strong mandate for innovation, experimentation, and delivering production-ready solutions that drive real impact.
This role will report to the Sr Manager, ML. The team develops ML algorithms to help our customers make decisions on top of the millions of survey responses we receive daily. This role plays a critical part in advancing SurveyMonkey’s ability to extract meaningful insights from survey responses, which is essential for delivering differentiated value to customers.
This is an exciting time to join the growing Data Team at Remote. The Senior Data Analyst, Product Analytics will help spearhead our team’s partnership with the Product organisation at Remote, building relationships, generating insights, guiding product decisions, and enhancing user experiences. The person should have the ability to translate complex data into actionable insights and recommendations, ability to build effective relationships and collaborate with product leadership, and proficiency in SQL and data modelling.