Senior Data Science Professional

Há 4 dias

Porto Alegre, Brasil Bebeemachinelearning Tempo inteiro

As a seasoned data science professional, we are seeking an expert to develop and deploy cutting-edge machine learning solutions.The ideal candidate will lead the development of innovative algorithms and models, leveraging their technical expertise to drive business outcomes.Main Responsibilities:Data Science Lead: Own the development and deployment of machine learning solutions to address complex business challenges.Technical Expertise: Develop and maintain high-quality, scalable code that meets industry standards and best practices.Insight Generation: Analyze large datasets to extract actionable insights and inform strategic decisions.Methodology Adoption: Employ state-of-the-art machine learning methodologies and frameworks to develop robust and scalable models.Tech Leadership: Influence technical direction and take ownership of key components of systems and solutions, ensuring they meet business needs.Collaboration: Work closely with cross-functional teams to develop data-driven solutions and deployable products.Mentorship: Mentor junior team members to establish team domain expertise and drive knowledge sharing.Requirements:5+ years of industry experience in applied machine learning.Masters Degree or PhD in CS/ML or related field.3+ years experience in building, deploying, and managing machine learning and deep learning models in production environments at scale.Deep understanding of ML best practices (A/B testing, training/serving pipelines, feature engineering etc), algorithms/techniques (gradient boosting, deep neural networks, optimization, regularization), and experiment design.Experience in at least one of these domains: price estimation, personalization, recommender systems, computer vision, fraud detection and authentication, marketing.Extensive experience in scientific libraries in Python (numpy, pandas) and Machine Learning tools and frameworks (Scikit-Learn, Tensorflow, Keras, PyTorch).Strong data engineering skills and experience working with large-scale datasets.Experience with big data tools (Apache Beam, Apache Kafka, Spark).Experience with cloud technologies AWS, GCP or Azure.Familiarity with Python, SQL.

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