Hire the Top 2% of
Freelance Data Science Developers
in Brazil

jonathan S.

Data Science developer in Brazil (UTC-3)

I am a Ph.D. candidate in Computer Science with experience in AI evaluation, software development, and data science. Skilled in Python, TensorFlow, and ML frameworks, I have published research in AI and edge computing.

Julia A.

Data Science developer in Brazil (UTC-3)

I am a Machine Learning Engineer on the Sales Strategy and Business Expansion team at Embraer. I hold a Bachelor's in Aeronautical Engineering from the University of São Paulo.

Paulo S.

Vetted Data Science developer in Brazil (UTC-3)

Data Scientist with over 5 years of experience working on multiple lines of business. My main stack is Python and I've worked with multiple machine learning algorithms, data anaysis and visualization, hypothesis testing (A/B testing), statistical analysis and data engineering work. Since I have an engineering backgound, problem solving comes naturally for me.

hugo A.

Vetted Data Science developer in Brazil (UTC-3)

**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)

Anna C.

Vetted Data Science developer in Brazil (UTC-3)

Knows different types of programming language and ETL softwares. Can work with diverse teams and have good communication skills. Great experience with analytics, often gives new ideas with critical reasoning and thinks outside the box. Capable of presenting functional and innovative solutions. Detail oriented, collaborative and easily adapt to new circumstances

Rodrigo H.

Vetted Data Science developer in Brazil (UTC-3)

I'm a problem solver with 5+ years of experience and results based on data and business knowledge. I’m very proactive, collaborative and always available to help and support my colleagues. I'm an eager learner mainly interested in Machine Learning, MLOps, Deep Learning and all about technology. Experience in 💼: \> Extracting business value from data and large data sets, predictive modeling, forecasting, optimization, generation of insights and supporting business decision making, problem framing, data analysis, value assurance, development of proof of performance and POC; \> Real estate market, E-commerce, Insurance, predictive maintenance in oil and gas industry; \> Clustering, time series, anomaly detection, feature selection, feature importance, NLP; \> MLOps, development of ML and Deep Learning models, models monitoring, maintenance, experiment, deployment, data drift detection; Programming Languages 💻: Python, R, SQL, VBA (Excel and Word), SAS, Prophet Tools ⚒️ : PySpark/Spark, MLflow, Databricks, Git, Microsoft Azure, AWS, Amazon Sagemaker, Azure DevOps, Google Cloud Platform, MS Office, Data Studio, Power BI, VS code.

Ricardo V.

Vetted Data Science developer in Brazil (UTC-3)

I am Bachelor and Master Candidate at Universidade de São Paulo (USP), based in Brazil, with 5+ years of experience in technology careers with data driven projects and 3+ years of work as a Business Intelligence and Data Science Analyst, participating as Data Engineer, Data Analyst and Tech Lead in several projects, recently more focused in the Public Sector. Currently, I am enrolled in a Master Degree research focused in football analytics, with focus on maximization of expected goals through match events of a team. The main goal of my career is to allow technology to promote evolutions in other knowledge areas. I truly believe mentoring is a way to spread my knowledge and enhance opportunities for programmers who might be stuck in several questions: coding, networking, portfolio and carrer development.

Daniel D.

Data Science developer in Brazil (UTC-3)

I have 5 years of experience in Machine Learning and Data Analysis. I worked with multiple technologies like Python (Pandas, TensorFlow, Pytorch, Scikit-Learn), AWS (S3, Redshift, EC2), data engineering (SQL, Spark, Airflow), containers (Docker), ML experimentation (MLFlow), and distributed computing (Dask and Ray), among other data science and engineering tools.

Luan B.

Data Science developer in Brazil (UTC-3)

Data Scientist with 6 years of expertise in Machine Learning, Generative AI, Data Analysis and Visualization and Data Engineering. From retail segmentation to predictive maintenance, I specialize in crafting impactful solutions utilizing Python, SQL, GCP, AWS, and innovative approaches. I have transformed data accessibility with an AI-driven WhatsApp Chatbot, providing tangible benefits to directors and managers. Additionally, I have excelled in optimizing media investments, engineering delivery time predictions. Proficiency in ETL design, regression modeling, and agile methodologies underlines my commitment to delivering high-quality solutions. Beyond technical skills, my strong communication abilities facilitate effective collaboration throughout cross-functional teams and ensure successful project outcomes.

André A.

Data Science developer in Brazil (UTC-3)

I am a dedicated Data Scientist and Data Engineer with a degree in Computer Science from the Federal University of Pelotas, currently pursuing a specialization in Software Engineering for Data Science Applications. My professional journey has been driven by a passion for transforming raw data into strategic insights that bring measurable value to businesses. With extensive experience across big data, machine learning, and natural language processing (NLP), I specialize in delivering high-impact data solutions tailored to business needs. Throughout my career, I have successfully led and contributed to projects in diverse areas, from developing advanced data extraction and processing tools to building scalable AI-driven solutions and data pipelines. In my current role, I apply cutting-edge AI and engineering practices, such as vector database selection, Retrieval-Augmented Generation (RAG) models, and large language model (LLM) integration, to streamline data insights and enhance user interactions. My work has consistently involved end-to-end solutions, including data extraction, model deployment, and API development, ensuring seamless access and utilization of complex datasets. Early on, my academic research in clustering and NLP set a strong foundation for my data engineering skills, as I utilized data scraping, parallelization, and data standardization techniques to uncover trends in scientific publication patterns. Since then, I’ve remained committed to developing data-driven tools that foster innovation and support strategic decision-making. My current specialization deepens my skills in software engineering for data science applications, equipping me to deliver even more robust and innovative solutions in this dynamic field