Senior Data Scientist

OverviewWho we areAt Artefact Brasil, 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.
We are committed to building a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief.
We want incredible minds and hearts with us
Come and be Artefact
What you will be doing:ResponsibilitiesDesign, develop, and deploy end-to-end machine learning models, from data acquisition and feature engineering to production monitoring.Collaborate with data analysts, product managers, and engineering teams to translate business problems into data science frameworks and ensure impactful outcomes.Develop and refine complex data features from large-scale datasets to improve model accuracy and business performance.Champion data quality and integrity, defining the requirements for robust datasets needed for advanced analytics and modeling.Monitor, analyze, and troubleshoot the performance of deployed models, addressing issues like concept drift, data quality degradation, and performance bottlenecks.Provide technical leadership in the application of statistical modeling, machine learning, and advanced analytics to solve complex business problems.Document and present complex methodologies, model findings, and strategic recommendations to both technical and non-technical stakeholders.Lead by example, championing a culture of scientific rigor, experimentation, and continuous learning within the data science team.Mentor and coach junior data scientists and analysts, fostering their growth through code reviews, design discussions, and knowledge sharing.What we are looking for:A degree in Computer Science, Statistics, Engineering, Economics, or a related quantitative field.Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.Curiosity: You are passionate about finding innovative solutions to complex problems.
You seek to understand the entire value chain and how your ML models integrate with front-end applications, back-end systems, and the underlying data infrastructure to deliver business value.Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.Entrepreneurship: You bring solutions, new ideas, and innovations.Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.Required Technical ExperienceYou have practical experience with several tools and technologies in the modern data stack, such as:Programming Languages: Strong skills in Python for data science (pandas, numpy, scikitlearn, pyspark); Nice to Have experience with a deep learning framework like PyTorch or TensorFlow/KerasCloud Data Platforms: Hands-on with at least one of Google Cloud Platform (GCP), AWS, Azure, DatabricksData Warehousing & Databases: Familiar with tools such as PostgreSQL, SQL Server, BigQuery, SnowflakeMachine Learning models: Experience with supervised learning models (xgboost, logistic regression, etc), unsupervised learning models (clustering algorithms)MLOPS: Experience with at least one: Databricks, mlflow, AWS Sagemaker, Vertex AI; Git code versioning workflow and platforms (Github, Azure Devops, Gitlab etc)What we offerFree Office – work from home or anywhere you want
Gympass – access to gyms and wellness programsInsurance – life, health, and dental coverageIn-person Meetings 3x a Year – our famous "Get Together" with workshops, talks, trainings, and happy hour
Woba – book a coworking space wherever you like
Semiannual Reviews – with opportunities for promotionWhy you should join usArtefact is the place to be: come and build the future of the data fieldProgress: every day offers new challenges and new learning opportunitiesCulture: Empathy and Collaboration are in our DNAEntrepreneurship: you will join a team of motivated entrepreneurs.
We won\'t give up until we make a big difference in this industry
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