Sobre

• This position is posted by Jobgether on behalf of a partner company. We are currently looking for a CIENTISTA DE DADOS SR in Brazil.
• We are seeking an experienced Senior Data Scientist to join a dynamic, innovation-driven team. In this role, you will design, build, and deploy advanced machine learning and AI models that drive business insights and intelligent decision-making. You will work with large datasets, integrate models with APIs, and collaborate closely with cross-functional teams to implement scalable solutions. The position offers the chance to work with state-of-the-art tools and platforms, including LLMs, Databricks, and cloud-based data systems, in a fully remote and collaborative environment. You will play a key role in promoting AI adoption, improving analytical capabilities, and contributing to strategic initiatives across the organization.
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Accountabilities

• Develop, evaluate, and tune predictive models using machine learning and deep learning techniques, both supervised and unsupervised.
• Implement and deploy models using Python and frameworks such as scikit-learn, XGBoost, LightGBM, TensorFlow, and PyTorch.
• Build APIs and services (FastAPI, Flask) to integrate models into production systems.
• Work with Large Language Models (LLMs) by performing prompt engineering and building intelligent systems integrated with AI models like GPT.
• Analyze data with SQL and Databricks, ensuring data quality and performance for model training and evaluation.
• Apply statistical methods, hypothesis testing, and model validation metrics, including explainability techniques (SHAP, LIME).
• Use version control (GIT) to maintain code quality and collaboration with other engineers.
• Collaborate with stakeholders to translate business requirements into AI solutions and actionable insights.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Data Science, or related field; advanced degree preferred.
• Proven experience as a Data Scientist, ideally in senior or lead roles.
• Strong knowledge of Python and associated ML/DL libraries, as well as API development.
• Experience with Large Language Models (LLMs) and prompt engineering.
• Proficiency in SQL and data manipulation within platforms such as Databricks.
• Solid understanding of model validation, statistical testing, and explainable AI techniques.
• Familiarity with version control tools like GIT.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work effectively in a fully remote, collaborative environment.

Preferred Skills

• Experience with AI and data science in cloud environments.
• Knowledge of AI model deployment pipelines and CI/CD practices.
• Previous involvement in cross-functional projects integrating AI into business processes.

Benefits

• Competitive salary and performance-based incentives.
• Fully remote work with flexible arrangements.
• Professional growth and learning opportunities with cutting-edge AI and ML technologies.
• Collaborative and inclusive team culture.
• Health, dental, and other benefits according to company policy.
• Participation in innovation and technology-driven projects across multiple domains.

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• Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
• When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
• 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
• 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
• 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role.
• 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
• The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
• Thank you for your interest!

• #LI-CL1