Train, evaluate, and iterate on ML models for customer feedback, including custom fine-tuning pipelines.
Build and maintain LLM-powered features like retrieval pipelines and insight agents.
Design and run robust evaluation frameworks to measure model performance.
Chattermill helps large brands like Uber, Amazon, and Wise put customers at the center using AI. They offer a flexible, trust-based culture with a choice-first environment.
Develop SQL-based reporting solutions for clients across different environments.
Collaborate with stakeholders to translate business needs into technical solutions.
Provide ongoing support, training, and ownership of implementation projects.
The company provides data-driven reporting solutions for clients across different environments. They offer a client-facing role with strong ownership and visibility, and a collaborative, remote working environment.
Design and build production-grade AI and Generative AI solutions, including LLM applications, AI agents, and RAG pipelines, on Microsoft Azure.
Integrate AI capabilities with enterprise platforms like CRM, ERP, and ITSM, ensuring scale, reliability, and security.
Contribute to responsible AI practices and implement governance controls such as data classification, prompt injection defenses, and audit logging.
Unit4 is an agile, fast-growing cloud company redefining Enterprise Resource Planning (ERP) for mid-market people-centric organizations. With over 40 years of heritage, it fosters a high-performance, people-first culture that values trust, autonomy, and inclusion.
Work on group data review and alignment to ensure People & Culture data consistency across countries.
Collaborate with the Group HR Controller, country HR Heads, and project teams to support data migration and governance.
Use SQL, Python, Databricks, and other tools to analyze large datasets, spot inconsistencies, and design data processes.
InPost is a leading e-commerce parcel delivery platform in Europe, operating a network of almost 47,000 Automated Parcel Machines and 35,000 pick-up points across nine countries. With a strong engineering culture and international environment, the company focuses on quality, collaboration, and impact.
Lead the Data Science strategy for Product, ensuring advanced analytics, data science, and AI methodologies drive product development and customer experiences.
Serve as a trusted strategic advisor to senior Product and Engineering leadership, embedding data-driven decision making at the highest levels.
Drive the development and adoption of next-generation data science tooling, platforms, and frameworks with a focus on automation, scalability, and reproducibility.
Tripadvisor Group connects people to experiences worth sharing and aims to be the world's most trusted source for travel and experiences. The company, which includes brands like Tripadvisor, Viator, and TheFork, is a large public organization with a strong data-driven culture.
Lead and scale a high-performing team of Analysts and Data Scientists embedded within Product domains.
Set the bar for analytical quality, experimentation rigor, and data science application across multiple product areas.
Partner with senior Product, Engineering, and Commercial leaders to shape strategy and drive measurable business impact.
Tripadvisor is the world's largest online travel site, visited by 390 million travelers each month. Its experiences business, Viator, is a fast-evolving, highly data-driven organization focused on building great products through data.
Lead product analytics, driving improvement through experimentation and AB testing.
Analyze customer behavior using funnel, feature, cohort analysis, and segmentation.
Support OKRs by creating reporting and insights to guide product and commercial performance.
Tripadvisor is a global travel platform that connects people with experiences worth sharing through rich content and marketplaces. As a publicly traded company with brands like Viator and TheFork, it fosters a data-driven culture focused on empowering decision-making through analytics.
Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
Mentor junior data scientists and influence technical decisions within the team.
OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.
Define and own the technical architecture and long-term strategy for GIS data pipelines and processing systems.
Lead cross-team GIS data engineering initiatives, driving evaluation and adoption of new tools and platforms.
Mentor and coach engineers, ensuring scalability, reliability, and compliance of geospatial data products.
HERE Technologies is a location data and technology platform company that empowers customers to achieve better outcomes through geospatial solutions. The team is a remote group of passionate developers and GIS specialists driven by collaboration, curiosity, and innovation.