SummaryPosted: Dec 8, 2024Weekly Hours: 40 Role Number:200581606Imagine what you could do here. At Apple, great new ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! The AppleCare Business Insight, Operations and Systems (ACBIOS) team is seeking an innovative and passionate Product Support Data Scientist who will be responsible for deriving insights into the software quality of Apple's products. This is an exciting opportunity to directly impact our customers' experience and support Apple products throughout their life cycle.DescriptionDescriptionThe Core Functions of this role are as follows: Craft and implement machine learning models, establish algorithms, and build tools to identify anomalies in metrics related to software field performance and product quality, while gaining a deep understanding of why customers contact Apple for support. Use the output from those tools and models to help teams around Apple understand what product and software improvements are priorities to address. Other Key Functions of this role include: Collaborate with cross-functional teams to establish relationships, find opportunities, develop performance indicators, and communicate complex data analyses. Build and refine anomaly detection tools and algorithms, improving our ability to identify and respond earlier to emerging signals in our data. Research and implement new technologies and methods in data science, data engineering, and data visualization to elevate the technical proficiency and innovation of our team. Construct and maintain dashboards and self-service tools, facilitating effective data analysis and insights sharing. Handle large, complex data sets and use advanced analytics to tackle challenging problems.Minimum QualificationsMinimum QualificationsMA or MS degree in statistical analysis, computer science, data science, or related field.3+ years experience in deploying data science, machine learning, or anomaly detection techniques to solve practical business problems.Outstanding written and verbal communication, with the ability to make complex data science concepts understandable to non-technical audiences.Proficiency in SQL, preferably in Snowflake.Experience with anomaly and outlier detection methods and algorithms.Strong programming skills in Python with experience using packages such as Pandas, NumPy, scikit-learn.Experience in quantitative data analysis, possessing a strong ability to conduct in-depth evaluations of complex issues.Have a creative approach to engineer innovative features and signals into analytical solutions, pushing the boundaries of current tools and methodologies.Experience leveraging Large Language Models (LLMs) to generate, refine, evaluate, and analyze text data for practical applicationsKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with Graph Databases.Demonstrated ability to implement, improve, debug, and maintain machine learning models.Experience with front end libraries such as React or Streamlit.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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 $129,600 and $195,200, 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.
More

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.