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

Carlos O.

Vetted Data Science developer in Colombia (UTC-5)

Mechanical engineer with a strong academic background, holding a Bachelor's degree from Universidad de los Andes and a Master of Science in Computational Mechanics from the Technical University of Munich (TUM). Over 4 years of academical experience and 5 years of professional experience, also have seamlessly transitioned into the field of data science and machine learning, where have excelled in solving complex business problems and deploying innovative solutions in production environments. Expertise lies in leveraging cutting-edge libraries like TensorFlow, Pytorch, and Scikit-Learn to develop cognitive services. With a versatile skill set, brings to the table a wealth of experience in time series modelling, programming proficiency in Python, C++, Java, and Matlab, and a solid foundation in High-Performance Computing (HPC).

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.

Andrés E.

Vetted Data Science developer in Mexico (UTC-6)

Data Scientist experienced in analytics and machine learning. Enjoys teamwork and tech-driven methods, with a passion for sustainable engineering and optimizing energy use. Skilled in finance and risk projects, effective in communication and organization. Recognizes the importance of high data quality and is committed to ensuring accurate and reliable insights.

Rafael R.

Data Science developer in Mexico (UTC-6)

Bioinformatician with experience in data science and machine learning, using programming languages (Python and R) for data analysis. Transcriptomics and genomic analysis (Transcript assemblies, Differential Expression, phylogenies). Gene annotation (Blast, Trinotate pipeline). Linux/bash (Computational Cluster). Data mining and filtering (regular expressions - Python). Development of graphs to display relevant information (Volcano plots, stacked bar plots).

Emilia G.

Vetted Data Science developer in Argentina (UTC-3)

Hi there! I can help you with: 💻 fix your code 📊 data analysis 🔎 statistical analysis for research 🔮 machine learning algorithms 🧠 artificial neural networks ➕ and more. Languages: python, R

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)

Andre M.

Vetted Data Science developer in Barbados (UTC-4)

Results-oriented data engineer and analyst with extensive expertise in delivering impactful, research-driven solutions. Proficient in mathematical and statistical modeling, Bayesian statistics, and machine learning using tools such as Scikit-learn and PyTorch. Skilled in natural language processing (NLP) with large language models (LLMs) and full-stack Python development using Django. Experienced in data orchestration with Prefect and designing horizontally scalable, distributed systems with tools like Dask, PySpark, and Kafka to manage high-throughput environments. Proven track record of developing successful trading algorithms for stocks, forex, and cryptocurrency markets, and applying statistical process control methodologies (DMAIC) for Root Cause Analysis (RCA) and resolving complex challenges.

Alfredo L.

Vetted Data Science developer in Mexico (UTC-6)

Data Scientist/Machine Learning Engineer with a profound background in Mathematics, Computer Science, and Philosophy. Specialized in developing intelligent, autonomous systems and articulating end-to-en technological solutions.