Role Description The current vacancy is for the Brazilian office and we work in a Free Office model. #LI-Remote You will join our Data and Consulting team, which helps clients transform and improve their data strategy by applying advanced analytics to generate insights that create business value from big data and artificial intelligence. - Innovate: Work with your team, consisting of consultants, data scientists, and engineers, to identify client needs and define innovative solutions. - Learn and Share: Work in a collaborative team that promotes knowledge sharing. Learn from others, share knowledge, and stay up to date with industry news/updates. - Develop: Be involved in the solution from start to finish. Manage the design and implementation, as well as optimize performance and scalability with the help of senior scientists. - Work across the entire project value chain (data collection and processing, exploratory data analysis, application of machine learning models, model production). - Demystify technical terms or solutions for more business-oriented profiles; work in a team with very diverse profiles. - Prioritize your tasks, respect deadlines, and raise your hand in case of risks or problems. Qualifications - Having completed an undergraduate course in data science, machine learning, mathematics, computer science, statistics, engineering, economics, or a related field. - Desirable a first knowledge in statistics and programming (Python/R). - Curiosity: always looking for innovative solutions for clients and involved in the entire value chain. - Collaboration: knowledge sharing is essential and actively participate in the dissemination of information within Artefact. - Entrepreneurship: bring solutions, new ideas, innovations. - Fluent English: comfortable communicating in English, essential for working in an international environment. Benefits - Meal/Transportation Allowance (VR/VT) - Free Office (work from home or anywhere you want!) - Gympass - Insurance: Life, Health, and Dental - Bi-monthly Meetings (our “Get Together” with workshops, lectures, training, and a happy hour!) - Woba (you can book coworking spaces anywhere you want!) - Semi-annual evaluations (with opportunities for promotion) Company Description At Artefact LatAm, we believe in and live a culture based on empathy! A healthy work environment is a place where all voices are heard, respected, and valued. Our commitment is to build a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief. Why you should join us: - Artefact is the place to be: come and build the future of marketing. - Progress: every day offers new challenges and new opportunities to learn. - Culture: join the best team you could ever imagine. - Entrepreneurship: join a team of driven entrepreneurs who won’t give up until they make a huge dent in this industry!

• Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics • Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency • Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts • Harden methodology: judge stability, non-determinism handling • Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake

• Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics • Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency • Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts • Harden methodology: judge stability, non-determinism handling • Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake

• Own and extend our offline eval suite across products — datasets (capability + regression), judges, metrics • Build and maintain online quality dashboards: resolution rate, CSAT, thumbs up/down, LLM-as-judge signals, error rate, latency • Close the production feedback loop: mine failure patterns from real traffic → turn them into regression cases → propose fixes to Product and domain experts • Harden methodology: judge stability, non-determinism handling • Translate numbers into decisions – weekly syncs, clear trade-offs, no dashboards for their own sake