SummaryPosted: Dec 19, 2024Role Number:200566059At Apple, we believe in hard work, a fun environment, and the kind of creativity and innovation that only comes about when highly skilled people from diverse backgrounds approach problems from varying perspectives. We believe each customer interaction is an opportunity to delight, engage, and inspire – and that by focusing on the smallest of details, we can make big impacts with our customers! The people here at Apple don't just build products — they craft the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.DescriptionDescriptionThe Support Insight Data Scientist is 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. The 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 QualificationsBA or BS 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.Applied knowledge of statistical data analysis to perform trend and anomaly identification, predictive modeling, and hypothesis testing.Proven ability to make data-driven, convincing arguments to drive process changes.Demonstrated experience in leading data science projects through all phases including exploratory data analysis, data quality management, modeling, tool deployment, and presentation of results.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsExperience with Docker, Kubernetes, Airflow.Experience with front end libraries such as React or Streamlit.Experience with LLMs and Graph Databases.Demonstrated ability to implement, improve, debug, and maintain machine learning models.Highly Proficient in Tableau.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 $136,300 and $205,500, 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.
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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.