Mid-Level Data Scientist

We are looking for a Data Scientist to work on the creation of intelligent solutions that generate strategic value for the Kartado platform.

You will be responsible for turning data into decisions and developing scalable artificial intelligence applications that directly impact our customers' experience and the product's evolution.

Your main responsibilities will be:

• Develop machine learning models and artificial intelligence solutions applied to real product challenges, from problem definition to production deployment;
• Perform exploratory and statistical analyses to generate hypotheses, validate experiments, and support data-driven decision-making;
• Prepare, clean, and transform data from different sources, ensuring quality and consistency for model training and evaluation;
• Select appropriate algorithms and architectures for each context, evaluating trade-offs between performance, interpretability, and business impact;
• Conduct structured experiments, such as cross-validation and A/B testing, ensuring methodological rigor and clear measurement of results;
• Collaborate with data engineering and software development teams to structure pipelines, deploy, and monitor models in production;
• Explore and implement solutions using Generative AI and Large Language Models, identifying opportunities for product innovation;
• Document experiments, metrics, and results in a structured way, promoting reproducibility and continuous improvement of solutions;
• Actively participate in agile ceremonies, contributing with an analytical perspective and evidence-based guidance for delivery prioritization;
• Translate complex business problems into measurable data solutions aligned with the company's strategy.

Requirements:

• Experience with Python applied to data science, using libraries such as Pandas, NumPy, and Scikit-learn;
• Solid knowledge of machine learning algorithms (supervised and unsupervised), including classification, regression, and clustering;
• Proficiency in statistical analysis and hypothesis testing for model and experiment validation;
• Experience with SQL for data extraction, transformation, and analysis in relational databases or data lakes;
• Experience in feature engineering, evaluation of performance metrics, and bias and variance analysis;
• Familiarity with code versioning (Git) and best practices for organizing data projects;
• Clear communication skills to present technical results to non-technical audiences;
• Results-oriented mindset, focused on generating business value;
• Autonomy to conduct analytical investigations and propose innovative solutions;
• Experience with agile methodologies and collaborative work in multidisciplinary teams.

Differentials:

• Experience with experiment tracking tools such as MLflow;
• Experience in collaborative development environments such as Databricks;
• Knowledge of Deep Learning using PyTorch or TensorFlow;
• Practical experience with LLMs and Generative AI solutions applied to digital products;
• Knowledge of cloud services for machine learning (AWS SageMaker, S3, Lambda, or similar);
• Experience in B2B SaaS companies or data-driven products;
• Experience in MLOps projects, including deployment and monitoring of models in production.

Kartado's Core Competencies:

• Organization: You document, plan, and track your deliveries consistently;
• Creativity: You seek innovative solutions and apply new AI techniques to solve real problems;
• Focus: You understand product priorities and direct efforts to generate concrete impact;
• Time Management: You balance experimentation, deliveries, and technical quality in your daily work.

What we offer:

• 100% remote work;
• Flexible hours;
• Collaborative environment and continuous learning;
• Individual Development Plans (IDPs);
• 1:1 follow-up and feedback meetings;
• Autonomy to propose and implement solutions;
• GoGood benefits including:
  • Dental plan (Odontoprev) for you and up to 3 dependents with no co-payment;
  • Telemedicine (Conexa) for you and up to 3 dependents with no co-payment.
• Wellhub with discounts on gyms.

If you are passionate about data and artificial intelligence, enjoy turning analyses into real solutions, and want to be part of a team that is building products that impact infrastructure management in Brazil, come join our team!