HID Health User Studies Data Science Engineer

Key Skills

AWS, Azure Blob, Docker, High performance computing- HPC, iOS platform, Jupyter Notebook, Linux Operating system, PySpark, Python Programming, Software Development, Spark-SQL

Job Description

Here is your opportunity to come and join an exciting engineering team responsible for building next-generation health sensors and features. The Health HID Health User Studies Data Science Engineer will be responsible for extracting insights and knowledge from sophisticated data sets to support user studies. If you are hardworking and passionate about health research and development this is an exciting opportunity.

At Apple, phenomenal ideas have a way of becoming phenomenal products, services, and customer experiences very quickly, and making the kind of impact that changes people's lives. We are seeking an upbeat and dedicated data science engineer to analyze data, extract insights, and help us build and improve the platforms used for research and development. The research studies we launched are helping Apple improve existing health experiences with our products, and build new ones. As a member of our fast-paced group. You will have the outstanding and exciting opportunity to craft the systems that allow our products to delight and encourage millions of Apple’s customers every day.

Key Qualifications

• Strong software development skills, with a proficiency in Python required
• Demonstrated skill and experience with parallel computing systems such as PySpark and SparkSQL
• Familiarity working with systems such as blob storage, elastic compute and virtual instances
• Experience with tools such as Git, Docker, Jupyter notebooks, Linux command line; technologies such as Delta Lake, AWS, iOS; and familiarity with Scala are all a benefit.
• Experience with Software Development Life Cycles
• Experience working in organizations processes for continuous integration, defect tracking, code reviews, & quality assurance.
• Pro-active communicator and collaborator working with a multi-functional, distributed teams

Description

Your work will directly impact the development of health-related features in Apple products. The ideal candidate has demonstrable experience solving tough problems with outstanding data streams using various tools and strategies including parallel computing systems. You will work closely with cross-functional teams to identify user study problems and advise decision-making through data analysis. This role will focus on the implementation of data information solutions to improve the usability of our platform for large scale user studies that gather critical data to the design and qualify Apple’s health software products.

Education & Experience

• Degree in Computer Science, Engineering, Informatics, or equivalent with relevant proven experience with biomedical, health or sensitive data.

Pay & Benefits

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 $104,000 and $190,000 annualized, 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.