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Arc helps you hire senior Data Science developers in Brazil. With 173 Data Science vetted programmers in Brazil available for hire on a full-time basis, we have one of the largest network of vetted talent. Our vetting process ensure you hire senior Data Science developers and experts in Brazil that you can trust.
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Want to expand your Data Science development team in Brazil? Here are some of our top remote senior Data Science developers in Brazil for you to browse, interview, and hire.
Highly skilled and experienced Machine Learning Engineer with a proven track record in developing and implementing machine learning models and data pipelines in various business environments. Proficient in Python, TensorFlow, PyTorch, and other key tools and technologies in the field. Demonstrated ability to align technical knowledge with business interests, leveraging data to diagnose problems, identify opportunities, and accelerate decision-making processes. Committed to continuous learning and staying updated with the latest industry trends. Seeking to leverage these skills and experiences in a challenging role to drive business growth and innovation.
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
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.
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