Data Scientist - Health at Apple

, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Mar, 26

Salary

0.0

Posted On

07 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Statistical Methods, Machine Learning, Advanced Analytics, Python, SQL, Spark, Communication, Collaboration, Product Analytics, Health Outcomes, Causal Analytics, Behavioral Analysis

Industry

Computers and Electronics Manufacturing

Description

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

Responsibilities

As a Data Scientist, you will apply statistical methods and machine learning to derive insights and share findings with relevant teams. You will work with big data, including Apple Watch sensor data, to drive product roadmap decisions.