Applied Data Scientist and Visualization Specialist Hardware Engineering Product Design

The Data Science and Visualization (DataViz) team in Hardware Engineering at Apple is seeking an enthusiastic team player to join us as an Applied Data Scientist and Visualization Specialist. We are a small supportive inclusive and dynamic team that works on a variety of problems in engineering and research spanning analysis visualization 3D geometry and more. The common thread through all of our work is transforming complex data into something understandable and unique position within the organization allows us to collaborate with teams across a wide range of Apple products. The work we do impacts products used by millions of people worldwide.

As a member of this team-oriented collaborative group you will be working on the latest most innovative Apple products together with many cross-functional role requires strong collaboration fluency in using statistics and visualization to answer specific questions about datasets and a passion for creating informative visualizations and presentations that communicate results to all levels of the company. We encourage anyone who approaches problem-solving with curiosity and imagination to apply. If you are someone who loves learning views challenging questions as opportunities for deeper understanding and enjoys uncovering patterns in data and sharing those insights with others we would love to hear from you!nnYou will work closely with DataViz team members and members of other partner teams with many opportunities to practice and grow communication skills. Youll have a lot of latitude to define how you work; specific tools matter less than the lateral thinking they enable. This is a truly unique opportunity that exposes you to many different teams at Apple.

Handling and making sense of various input data streams and modalities including multivariate geometric (3D scans or CAD) time series and natural language data. Datasets can range from small engineering datasets to larger corpora amenable to deep with cross-functional teams to help identify trends in their data or build scripts and tools that enable them to derive insights more efficiently. Translating technical findings into clear compelling narratives for non-technical bespoke scripts to process synthesize and QA/QC data from various sources and formats. Diving into deep data exploration advanced visualizations statistical analyses and mathematical modeling as needed. nBuilding data-centric web applications and tools that automate data processing enable interactive exploration and deliver intuitive visualizations for informed decision-making. nConsulting internally and providing guidance on best practices in data analysis visualization web development mathematical modeling simulation and GenAI applications.

No single candidate will come in with all desired qualifications above all else were looking for someone with critical thinking skills as well as an eagerness and ability to learn new skills and solve dynamic problems in a collaborative supportive and inclusive environment. nExperience writing code and/or creating tools to import clean analyze and visualize data to enable data-driven decision solid grounding in statistics and the judgment to know which methods a problem calls for. The work spans a range of dataset sizes and complexities often calling for thoughtful statistical techniques alongside machine learning when building and evaluating machine learning models with a focus on producing meaningful interpretable interest in peer collaboration and teamwork and a willingness to solicit input and accept appreciation of functional design or an interest in developing your design to communicate important information in an easily understandable for learning new tools and processes and for helping collaborators grow their technical degree (or equivalent professional experience) in an analytical field such as but not limited to Computer Science Engineering Statistics Machine Learning Applied Math Physics Biomechanics Biological Sciences Robotics Climate/Environmental Science Computer Graphics or Animation along with 2 years of relevant work experience.

The varied nature of the problems our team handles means that there is a lot of room for your other skills to also be of use. We mention these here so you will include them in your resume if present but they are not required for the experience working in engineering manufacturing biomechanics and/or human factors-related fields. nExperience analyzing and visualizing 3D data sets or enthusiasm for delving deeper into 3D data analysis and visualization. Our datasets include human anthropometric and biometric data acoustic data and inertial measurement unit data (accelerometers gyroscopes altimeters).nExperience or interest in any of the following: natural language processing computer vision computational geometry time series analysis signal processing or anomaly work or contributions to open-source ML with recent advances in generative AI foundation models or transfer .D. preferred.