
51 - 200 funcionários
Fundada em 2016
🤖 Inteligência Artificial
🛍️ Comércio Eletrônico
Artificial Intelligence • Robotics • eCommerce
A Gugu Robotics é uma startup pioneira com sede na África Ocidental, dedicada a aproveitar o poder da IA, robótica e tecnologia de drones para criar soluções inovadoras para diversas indústrias. Fundada pelo visionário engenheiro Emmy Pencil, a empresa se especializa em projetar e construir sistemas robóticos personalizados, drones e veículos elétricos habilitados por IA que enfrentam desafios críticos em setores como agricultura, militar, médico, entre outros. Com uma equipe diversificada de especialistas, a Gugu Robotics busca redefinir possibilidades em automação e soluções de energia eficiente para moldar o futuro da tecnologia.
🕒 Junho 2
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

51 - 200 funcionários
Fundada em 2016
🤖 Inteligência Artificial
🛍️ Comércio Eletrônico
Artificial Intelligence • Robotics • eCommerce
A Gugu Robotics é uma startup pioneira com sede na África Ocidental, dedicada a aproveitar o poder da IA, robótica e tecnologia de drones para criar soluções inovadoras para diversas indústrias. Fundada pelo visionário engenheiro Emmy Pencil, a empresa se especializa em projetar e construir sistemas robóticos personalizados, drones e veículos elétricos habilitados por IA que enfrentam desafios críticos em setores como agricultura, militar, médico, entre outros. Com uma equipe diversificada de especialistas, a Gugu Robotics busca redefinir possibilidades em automação e soluções de energia eficiente para moldar o futuro da tecnologia.
• Design and implement scalable and reliable approaches to support or automate decision making throughout the business • Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear • Acquire data by building the necessary SQL / ETL queries and import processes through various company specific interfaces for accessing S3, RedShift, and Spark storage systems • Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies • Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks • Validate models against alternative approaches, expected and observed outcomes, and other business defined key performance indicators • Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production • Implement and deploy state of the art machine learning algorithms under Gen AI, build prototypes, troubleshoot customer issues, and explore new solutions • Interact closely with customers and with the academic community to drive innovation and deliver tailored data science solutions
• 10+ years of data scientist experience with a proven track record of solving complex business problems through data science • Bachelor’s degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field • Competency in data querying languages (e.g. SQL) and scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) • Experience with statistical models (e.g., logistic regression, supervised learning approaches) and a solid foundation in machine learning methods • Excellent communications skills with non-technical executive audiences, with the ability to translate complex models and findings into clear, actionable insights • 1+ year of hands-on experience with AI/ML technologies and modern machine learning frameworks • Demonstrated leadership and technical mentoring experience across a team or organization • Strong stakeholder communication skills with the ability to translate technical depth across audiences • Demonstrable, day-to-day usage and expert knowledge of AI-forward coding tools such as Claude and Cursor • Excellent problem-solving skills and the ability to navigate highly ambiguous technical and business challenges with sound judgment • Experience with advanced machine learning frameworks and cloud-based data science platforms is a plus
• Health insurance • Professional development opportunities
Candidatar-se🕒 Junho 2
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