Data Scientist

Recife, Pernambuco, Brazil


Posted: 29 Oct 2018
Weekly Hours: 40
Role Number: 114231099
Imagine what we could do here. At Apple, new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there’s no telling what we could accomplish. We’re looking for talented data scientists, machine learning scientists and engineers (at all levels of seniority) passionate about inventing products and building solutions from the ground up. We are looking for risk-takers, innovators and ambitious self starters who hunger to make a huge impact at Apple. Come make part of the Hardware Engineering’s Tools and Data Analytics Team working on exciting internal web apps! We are seeking a visionary, resourceful and enthusiastic Data Scientist to help us provide insights and continuously improve the value of our internal applications.

Key Qualifications

  • Fluent English
  • 3+ years software development and/or machine learning experience
  • Deep experience with Python (preferred), R, or other languages for machine learning and data analysis
  • Fluency with databases (MySQL, Cassandra, etc.)
  • Experience producing high quality code with excellent reliability and scalability
  • Knowledge in analysis or machine learning (Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, Keras etc.)
  • Experience with Natural Language Processing techniques
  • Experience with popular packages for data visualization (D3, HighCharts, matplotlib, ggplot, seaborn, plotly, etc.)
  • Experience in building and optimizing data pipelines (Python preferred)
  • Experience writing unit tests in Python
  • Experience with Big Data technology stacks (i.e Spark/Hadoop, Dask etc.)
  • Contributions to Open Source Software
  • Working knowledge of source control software such as Git (preferred)
  • Exposure to Agile project management methodologies
  • Ability to multi-task and lead tasks with varying priorities
  • Ability to work independently with minimal supervision
  • In this role, you’ll implement a brainstorm and communicate technology ideas and issues with peers and management
  • Excellent verbal and written social skills
  • Willingness to learn new technologies and implement in short time
  • Appropriate working in a multi-discipline, geographically dispersed team


You will be part of an extraordinary team of talented engineers. You will have a can-do attitude, passion for technology, and extensive data science and data engineering experience. This Data Scientist will focus on identifying and solving business challenges for Apple Hardware Engineering. You must have a strong background in one or (preferably) more of the following specialties: machine learning, data analysis, and data visualization. You must also be able to develop production machine learning applications with the team. You will work as a team to advance our data science capabilities in the short and long-term. You should be able of wearing many hats. Work in a fast paced environment with changing priorities and tight deadlines. Open communication and healthy debate are paramount to your success within the team.

Education & Experience

Additional Requirements