aiml - machine learning engineer, data and ml innovation

aiml - machine learning research engineer, data and machine learning innovation

aiml - sr software data engineer, evaluation

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ai/ml engineer: system rf data ecosystem Jobs in Cupertino

ai/ml engineer: system rf data ecosystem

aiml - machine learning engineer, data and ml innovation Jobs in Cupertino

aiml - machine learning research engineer, data and machine learning innovation Jobs in Cupertino

aiml - sr software data engineer, evaluation Jobs in Cupertino

apple ads financial analyst Jobs in Cupertino

apple ads financial analyst

senior data analyst

Apple

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As a Data Analyst on Apple&rsquo;s Storage Analytics team, you&rsquo;ll play a key role in developing the fastest, most efficient SSDs for products including iPhone, iPad, Apple Watch, and Apple Silicon Macs. We&rsquo;re seeking an exceptional analyst with expertise in distributed data processing and a proven ability to transform data into actionable insights. If you&rsquo;re passionate about advancing how data is used to make Apple&rsquo;s products even better, we&rsquo;d love to hear from you! 
 
Description 
 
On the Storage Data Analytics team, we are responsible for ad hoc data analysis, developing and maintaining distributed data pipelines, and creating and supporting analysis tools. Our work focuses on Apple&rsquo;s storage solutions. The team is small and nimble, able to quickly explore ideas and present them to both storage teams and leadership. 
 
&quot;,&quot;responsibilities&quot;:&quot;Performing exploratory data analysis to assess the feasibility of investigations. 
 
Using Jupyter and Tableau to explore and visualize data, and publishing findings to client teams. 
 
Building data pipelines to extract data from HDFS, transform it in Spark, and deliver it to Postgres and Tableau. 
 
Delivering analyses through self-service dashboards as well as in-person presentations with other teams and engineering leaders. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow, etc.) 
 
Knowledge of storage concepts, SSDs, and I/O paradigms 
 
Highly organized, creative, motivated, and results-driven 
 
Minimum Qualifications 
 
4+ years of experience in data analytics 
 
Professional programming experience with Python 
 
Experience working with relational databases and SQL 
 
Ability to lead data investigations and analysis projects with ambiguous requirements 
 
Advanced knowledge of statistics and modeling 
 
Experience visualizing and presenting analyses using tools such as Jupyter and Tableau 
 
Excellent written, verbal, and data communication skills 
 
BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Senior Data Analyst - Storage Technologies

At Apple, data helps turn curiosity into breakthrough product experiences. Within iCloud, data plays a critical role in shaping how cloud services evolve, scale, and deliver world-class experiences. 
 
We are seeking a Sr. Data Science Leader to define and scale the data science vision across iCloud and Enterprise domains. This leader will build and guide a high-impact organization that shapes product strategy, drives business outcomes, and elevates decision-making through rigorous, data-informed insights. 
 
This role calls for a strategic leader who pairs deep technical expertise with strong people leadership, and who can translate complex data into clear, measurable product and business impact while driving alignment across senior stakeholders. 
 
Description 
 
The Sr. Data Science Leader will oversee and grow a team of senior data scientists and managers responsible for analytics, experimentation, modeling, and data-driven insights that directly influence iCloud product experiences and business strategy. 
 
You will partner closely with Product, Engineering, Design, and Business leaders to define success metrics, guide long-term roadmaps, and embed data science deeply into product development. As a trusted advisor to senior leadership, you will bring clarity to complex problems, drive prioritization across competing initiatives, and influence executive decisions with well-structured, evidence-based recommendations. 
 
This role operates at both strategic and execution levels. You must be comfortable navigating ambiguity, setting direction in complex problem spaces, and balancing immediate product impact with long-term capability building.&quot;,&quot;responsibilities&quot;:&quot;Lead organizational transformation: Champion a culture that balances data-driven rigor with informed intuition in decision-making, helping teams across iCloud integrate data science insights into product and business strategy. 
 
Set the data science vision: Establish the long-term strategy for analytics, experimentation, and machine learning across iCloud and Enterprise domains, ensuring statistical rigor and scalable data science practices that support product and business priorities. 
 
Drive product and business impact through data: Guide large-scale experimentation, causal inference, predictive modeling, and optimization efforts that inform product direction, engagement, growth, and enterprise value. 
 
Influence executive decision-making: Partner closely with Product, Engineering, Design, and Business leaders to define success metrics, shape roadmaps, evaluate trade-offs, and guide strategic decisions through data-driven insights. 
 
Elevate data science capabilities across the organization: Establish best practices for analytical rigor, experimentation, and insight generation while enabling teams to work effectively with large datasets and scalable data infrastructure. 
 
Preferred Qualifications 
 
Maintain deep awareness of the rapidly evolving AI ecosystem and apply those insights to guide team and organizational strategy. 
 
Minimum Qualifications 
 
10+ years of experience in data science, analytics, or applied machine learning. 
 
5+ years of experience leading and scaling data science teams, including managing managers. 
 
Proven track record supporting product development in large-scale consumer or enterprise environments. 
 
Strong foundation in statistics, experimentation design, causal inference, and machine learning methodologies. 
 
Experience working with large, complex datasets and modern data ecosystems. 
 
Experience with large-scale experimentation, recommendation systems, personalization, growth analytics, or optimization at scale. 
 
Experience overseeing large-scale data science initiatives and cross-functional data infrastructure initiatives. 
 
Advanced degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. 
 
Exceptional communication skills with the ability to influence both technical and non-technical stakeholders. 
 
Demonstrated ability to operate effectively in ambiguous, complex environments and set clear direction. 
 
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 . 
 
Pay &amp; 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 $262,500 and $393,800, 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.

Sr. Data Science Leader - iCloud

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you! 
 
Apple Services Engineering (ASE) is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more. 
 
Our Analytics and Data Engineering team is looking for an exceptional Senior Software Engineer to architect and build the large-scale data applications that are the foundation of our content engagement analytics. These processes are critical for providing accurate and timely insights that drive product development, marketing strategies, royalty payouts and overall business growth. 
 
The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionised entire industries. It&rsquo;s the diversity of those people and their ideas that encourage 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. 
 
Description 
 
As a Senior Software Engineer for the Core Content Engagement Data team, you will be responsible for designing, developing, and maintaining our huge-scale core data pipelines. You will work closely with peer engineering teams, data scientists and other stakeholders to understand their data needs and deliver innovative solutions. Given the size and complexity of our datasets, this is not a trivial task. This data empowers our product, marketing, and feature teams, and is the lifeblood for analytics and data science. You will be building the engineering backbone that our business leaders and analysts depend on to make critical decisions. 
 
Our ideal candidates have outstanding software development skills and are passionate about Big Data. They pay close attention to details and care about data quality. They also are team players - ready to contribute during design sessions, and able to give and receive constructive code reviews. Their curiosity drives them to explore new technologies and apply creative solutions to problems.&quot;,&quot;responsibilities&quot;:&quot;Lead technical discussions with engineering teams, data scientists, and business stakeholders to define data requirements and drive the execution of complex projects. 
 
Take ownership of the full software development lifecycle: architecting, designing, implementing, and testing highly scalable and efficient data processing pipelines. 
 
Create technical design documents and drive consensus across stakeholders. 
 
Work with our QA and SRE teams to establish and meet quality and reliability goals. 
 
Drive innovation and explore new technologies to improve our data infrastructure. 
 
Represent our team in meetings and drive consensus across participants. 
 
Create reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development. 
 
Mentor junior engineers on the team, fostering a culture of technical excellence, and elevating the team's capabilities through code reviews and design guidance. 
 
Preferred Qualifications 
 
Experience building streaming data processing systems. 
 
Experience with Apache Flink, Kafka, Cassandra and/or Spark. 
 
Experience building the data infrastructure to support AIML applications, or applying ML techniques to data engineering challenges (e.g., anomaly detection, data quality monitoring). Interest or experience in the GenAI space is a strong plus. 
 
Minimum Qualifications 
 
Proficiency and hands-on experience in at least one of Java or Scala. 
 
Skilled at writing clean, performant and well-tested code, as well as reviewing and debugging existing code. 
 
Solid Computer Science fundamentals, including algorithms and data structures. 
 
Knowledge of the JVM internals. 
 
A strong command of distributed data processing fundamentals and patterns (e.g., partitioning, data locality, distributed consensus). 
 
Excellent communication skills, with the ability to articulate complex technical designs and concepts to both technical and non-technical stakeholders. 
 
Good critical thinking skills. 
 
Undergraduate degree related to computing or equivalent experience. 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer - Core Content Engagement Analytics and Data

Imagine what you could do here. At Apple, revolutionary ideas have a way of becoming extraordinary products, services, and customer experiences. Join the Services Data Science &amp; Analytics Platform and AI Engineering team to enable Data Science with robust data platforms for analytics. Together, we'll create resilient, scalable infrastructure that enables our analytics systems to operate seamlessly at enterprise scale while safeguarding what matters most - our customers' privacy and trust. 
 
Description 
 
As a Senior Data Platforms Software Engineer, you will define the technical vision and lead the architectural evolution of platform infrastructure that enables Data Science for Apple Services. You will drive strategic platform decisions, mentor analytics teams, and influence technical direction across multiple organizations while building and optimizing the platform that supports our analytics ecosystem.&quot;,&quot;responsibilities&quot;:&quot;As a team, we ensure Data Scientist, Business Intelligence Engineers, Data Engineers, and Machine Learning Engineers have the tools they need for storage, compute, orchestration, deployment, and AI development. 
 
You will architect and drive adoption of a toolset that delivers flexibility, resilience, and deep analytics features while meeting Apple's stringent security and privacy requirements. 
 
Collaborating between our team members and infrastructure organizations, you'll translate the unique requirements of Data Science, Machine Learning, and Business Intelligence workloads into scalable platform capabilities that enable rapid innovation. 
 
You will lead cross-functional technical initiatives, establish platform engineering best practices, and drive the strategic roadmap for Data Science and AI at Apple. 
 
Preferred Qualifications 
 
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, Google ADK, etc.) 
 
Track record designing client-agnostic APIs using REST and/or GraphQL 
 
Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc.) 
 
Minimum Qualifications 
 
Bachelor's degree in Computer Science, Engineering, or related field, or equivalent professional experience 
 
7+ years of experience in software architecture design and development with expertise in Service Oriented Architecture, and Distributed Systems 
 
2+ years of experience in technical leadership roles focused on platform engineering or infrastructure 
 
Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform) 
 
Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.) 
 
Proven development skills building backend API services using Python (preferred) and/or JavaScript 
 
Practical experience with asynchronous programming, type safety, threading models, state machines and data structures 
 
Experience with data processing frameworks and query engines like Spark, Trino, and Snowflake 
 
Experience with managed cloud platforms such as AWS, GCP, Azure 
 
Excellent communication skills to collaborate with non-technical audience 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer, Data Science & Analytics Platform Engineering

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you! 
 
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
Description 
 
Our team, Apple Services Engineering (ASE) Privacy Instrumentation, works with Apple's customer-facing app development teams to answer two key questions: what metrics should we collect to answer key business questions and how will we get those metrics from client devices? We design and develop the data schema and standards for metrics, as well as the tooling that enables teams to collect these metrics, all while keeping user privacy front and center. By joining us your innovative ideas will impact billions of users worldwide and you will contribute to Apple&rsquo;s magic. 
 
We're looking for someone who thrives at the intersection of product management and engineering, helping us solve problems critical to unlocking business insights on Apple's most important customer software. In this role, you'll define the future of our privacy-first instrumentation capabilities while maintaining hands-on engineering involvement. This isn't your standard engineering role: while you will get the opportunity to write code for our tooling and data infrastructure, the bulk of your time will be focused on technical design, requirements gathering, and cross-functional collaboration. 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as necessary to answer high-level analytics questions at scale. 
 
Your responsibilities will span the full software development lifecycle - from brainstorming, design and analysis to development, implementation and maintenance. You'll define strategies for new data infrastructure products, create and maintain detailed instrumentation specifications for all new features across ASE products, and contribute code to implement these strategies. 
 
Working with stakeholders across product, engineering, data science, privacy, legal, and QA teams, you will: 
 
<ul><li>Design and implement privacy-preserving analytics systems some of Apple&rsquo;s flagship software products</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data across all Apple platforms (iOS, macOS, tvOS, watchOS, visionOS, web, and third-party)</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating specifications for engineering, data science, and QA teams</li></ul> 
<ul><li>Serve as data collection subject-matter expert, advising stakeholders on analytics impact across systems</li></ul> 
<ul><li>Partner with privacy and legal teams to balance analytics needs with consumer privacy protection</li></ul> 
The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;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. 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
BS or MS in Computer Science or equivalent industry experience with iOS and/or web development 
 
5+ years of experience as a software engineer, technical product manager, or engineering-focused management consultant 
 
Strong software design skills with deep knowledge of data structures and algorithms and hands on experience with programming languages such as Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
Excellent communication and collaboration skills with ability to translate ambiguous analytics questions into concrete engineering requirements while working with large, distributed cross-functional teams 
 
Strong prioritization skills with proven ability to manage multiple programs simultaneously with overlapping deadlines 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.</div>

Senior Software Engineer - Analytics and Data Privacy

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses. 
 
We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods. 
 
Description 
 
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will: 
 
Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development. 
 
Evaluate which tasks and data types benefit most from automation and work with customers to optimize against. 
 
Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch. 
 
Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure. 
 
Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios. 
 
Identify key factors that lead to improving productivity and quality. 
 
Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains 
 
Preferred Qualifications 
 
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations 
 
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization 
 
Passion for AIML and Operations, with a consistent track record of operational results. 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals 
 
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization 
 
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages 
 
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R 
 
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 . 
 
Pay &amp; 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 $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.

Data Scientist, AIML Data Scientist

Imagine the impact you could make here. At Apple, ideas quickly become groundbreaking products, services, and customer experiences. Bring your passion for numbers, strategy, and people, and there&rsquo;s no telling what you&rsquo;ll accomplish. Just as customers discover value in Apple products, our Finance group creates value for both Apple and its shareholders. We fuel Apple&rsquo;s growth by applying the same innovation to financial matters that defines our products and services. As part of the WW Retail Finance team, you&rsquo;ll partner with teams across the globe to influence decisions, shape strategy, and strengthen Apple&rsquo;s future. We are seeking a Senior Financial Analyst with tenacity, creativity, and curiosity to help support WW Retail Store Operations. 
 
Description 
 
This role will be responsible for providing world-class business insights and support to Apple Retail Leadership through the ownership of plan, forecast, close, and KPI development for Store OpEx. 
 
We are looking for a proven individual contributor with sharp analytical skills who is able to independently problem solve, innovate, and execute to deliver the highest quality outcomes across all levels of the organization.&quot;,&quot;responsibilities&quot;:&quot;Independently own annual planning, monthly forecasting, and quarterly close for Retail OpEx. 
 
Partner closely with Apple Retail leadership to support strategy, budgeting, and reporting. 
 
Design and implement KPIs, metrics frameworks, and underlying data structures. 
 
Deliver financial reporting and actionable business insights to Retail and Finance leadership. 
 
Build cross-functional partnerships across Apple to drive the highest quality outcomes. 
 
Ensure governance and compliance with Apple Finance policies across organizations. 
 
Develop a deep understanding of Apple Retail to guide deliverables and decision-making. 
 
Continuously evaluate and improve processes, systems, and reporting efficiency. 
 
Preferred Qualifications 
 
Analytical ability to synthesize complex problems and datasets into business insights. 
 
Advanced Excel proficiency to support FP&amp;A processes and KPI measurement. 
 
Experience across the data stack, including Snowflake, SQL, Python, and Tableau. 
 
Exceptional communication and presentation skills across all levels of leadership. 
 
Proactive problem solver who brings proposed solutions alongside identified issues. 
 
Strong interpersonal skills with the ability to build and maintain partnerships across Apple. 
 
Comfortable navigating ambiguity and incomplete information in a fast-paced environment. 
 
Highly curious, willing to learn, and driven to uncover root versus surface-level explanations. 
 
Minimum Qualifications 
 
5+ years of relevant finance experience in a high-performance organization 
 
BA or BS in Finance, Accounting, Economics, Mathematics, or Business (or equivalent) 
 
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 . 
 
Pay &amp; 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 $137,900 and $207,300, 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.

WW Retail Senior Financial Analyst - Store Operations

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