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Data Scientist - Health
Data Scientist - HealthApple Inc. • San Francisco, CA, United States
Data Scientist - Health

Data Scientist - Health

Apple Inc. • San Francisco, CA, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

San Francisco Bay Area, California, United States Software and Services

Come join a team of passionate, purpose-driven professionals on the Health team at Apple. We’re an experienced team of doctors, clinicians, designers, PMs, engineers, business leaders, and data scientists working at the intersection of health and technology. We work in a collaborative and dynamic environment where we are constantly pushing ourselves to redefine the industry and create life changing user experiences. As a Data Scientist on this team you will partner closely with doctors, clinicians, designers, and product managers to drive the future of health. You will have the opportunity to work on a wide variety of fascinating problems, applying deep analytic techniques to derive insights that will drive future products.

Description

We are looking for an experienced data scientist who is equally strong with their interpersonal skills as they are with their technical chops. This individual has to be intensely curious, have strong data and product intuition, practice both ownership and accountability, be an expert communicator, iterate quickly with the data, and treat every day like it’s their first day. In this role you will :

  • Apply statistical methods, machine learning, and advanced analytics to derive insights and share findings with relevant teams
  • Work with big data, including Apple Watch sensor data
  • Drive feature evaluation product roadmap decisions via insights

Minimum Qualifications

  • Masters in Statistics, Computer Science, Mathematics, Economics, Engineering or equivalent
  • 5+ years applying data science principles in product analytics, health outcomes and evaluation, causal analytics or behavioral analysis
  • 5+ years of practical experience applying statistical methods and modeling
  • Expertise working in Python, SQL, Spark
  • Expert communicator and collaborator
  • Preferred Qualifications

  • PhD in Statistics, Computer Science, Mathematics, Economics, Engineering or equivalent
  • 8+ years applying data science principles in product analytics, health outcomes and evaluation, causal analytics or behavioral analysis
  • 8+ years of practical experience applying statistical methods and modeling, causal analysis, ML, AI
  • 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 $172,100 and $258,600, 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.

    Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

    Apple accepts applications to this posting on an ongoing basis.

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