Data Engineer

Há 3 dias


Lisboa, Lisboa, Portugal Trypleez Tempo inteiro

Job Title: Data Scientist


Job Description:


We are looking for a skilled and motivated Data Scientist to contribute to our team's success. The ideal candidate will have a strong background in designing and implementing data processing pipelines and developing AI-powered services.


Key Responsibilities:


• Design and develop efficient data processing pipelines to handle multiple data streams in near real-time.
• Build services powered by AI using different types of models, ensuring scalability and high performance to handle a significant number of requests.
• Work closely with cross-functional teams to understand business requirements and identify use cases related to the food delivery industry.
• Research, experiment, and fine-tune models to identify the best solutions for different use cases, optimizing performance and accuracy.
• Analyze large datasets to discover new patterns and insights to enhance our client's recommendations.
• Collaborate with data scientists and software engineers to implement and integrate AI solutions into our existing systems.


Required Skills:


• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• Proven experience in designing and implementing data processing and transformation pipelines.
• Strong knowledge of AI techniques and methodologies, including different types of models (Machine Learning but also the simpler ones).
• Proficiency in programming languages such as Python (examples: Pandas, NumPy, scikit-learn, Keras or TensorFlow).
• Strong analytical and problem-solving skills, with the ability to understand complex business requirements and translate them into technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.


Why Work with Us?


At Trypleez, we offer a fast-paced environment with opportunities for learning, professional development, successes, and failures. We help restaurants through our platform that aggregates and uses delivery data to improve restaurant management on Delivery Platforms.


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