Data Science and Visualization Software Engineer

• Experience programming in R and/or Python. You have experience using these tools to import, clean, analyze and visualize data to enable data-driven decision making.
• Able to process, debug, and clean large datasets from real-world human studies.
• Experience writing code to generate visualizations that enable deeper insight into data.
• Ability to quickly turn from concept/paper sketches of graphs to functional and scalable data visualizations.
• Ability to simplify and communicate complex information in an easily understandable manner.
• Collaborating with cross-functional teams to help identify trends in their data or to build tools that will enable easier analysis and visualizations in the future.

Our team is made up of multidisciplinary researchers and engineers who work on the latest and most innovative Apple products together with many cross-functional partners. We tackle novel research questions by designing and running experiments to test new prototypes and their effectiveness in solving a problem. Your role on this team is to be our go-to statistician and data expert to enable us to set up effective experiments and yield conclusive results at the end. A TYPICAL WORKFLOW WOULD BE TO: - Understand the research question, then lead the data-side of the study design. That includes performing power analysis, calculating population size/number of iterations, figuring out unique contributing factors, and developing data handling pipelines. - As data is being collected, you are conducting data exploration on datasets, QA/QC on data output, creating visualizations, performing statistical and mathematical modeling. - Finally, working with the rest of the team to dive into the data, analyze it together, and create the necessary visualizations to enable data-driven decision making. The role will require close collaboration with other cross-functional teams, with many opportunities to practice and grow communication skills. You�??ll have a lot of latitude to define how you work; specific tools matter less than the analysis and impact they enable. This is a truly unique opportunity with broad exposure to many different teams at Apple.

Masters or Ph.D. degree in an analytical field such as (but not limited to) Computer Science, Engineering, Statistics, Applied Math, Physics, Biological Sciences, Robotics, Climate or Environmental Science, Computer Graphics, Data Science.

• Nice to have:
• Ability to create simple and beautiful slides that communicate complex data
• Experience applying ML solutions to data-related problems when appropriate
• Expertise in NumPy, Pandas, Matlab, or Tableau, or other data visualization tools/frameworks
• Experience with basic CV algorithms and ability to apply them to simple problems Ability to create hardware heat maps and overlay data on 3D objects

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $130,000 and $242,000, and your base pay will depend on your skills, qualifications, experience, and location.
  
  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple�??s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple�??s Employee Stock Purchase Plan. You�??ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses �?? including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
  
  Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.