Data Scientist and Insights Lead

Apple • Cupertino, CA

84d • $172,100 - $258,600

About The Position

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's US Decision Intelligence (DI) team is looking for a talented US Data Scientist and Insights Lead who is passionate about crafting, implementing, and operating data products that have a direct and measurable impact on Apple Sales and its customers.

Requirements

• 8+ years of hands-on experience in data science, AI, analytics engineering, or similar technical analytics roles, with experience across both traditional ML systems and familiarity with GenAI paradigms.
• Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Ability to lead the development of Data Visualization projects from start to finish.
• Proficiency in Tableau, SQL, and modern DataViz best practices.
• Proven ability to lead cross-functional delivery in a fast-paced environment.
• Proven ability to drive measurable business impact through data and automation.
• Strong written and verbal communication skills, especially in stakeholder settings.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management, productivity, and design tools such as Wrike and Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• B.S Degree in Computer Science/Engineering, or equivalent work experience.

Nice To Haves

• Experience working with data science teams on insights generation leveraging LLMs.
• Strong experience articulating and translating business questions into Data products & solutions.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.
• Strong ability to gain trust with stakeholders and senior leadership.
• Passion for fostering inclusive team environments and valuing diverse perspectives.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field are preferred.

Responsibilities

• Developing and productionalizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms.
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Acting as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business partners.
• Influencing upstream data model design, driving KPI definitions, and developing your own data solutions as needed.
• Establishing a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Building and supporting dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
• Leveraging available AI/ML models across the company and translating those for US-specific needs.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses — including tuition
• Discretionary bonuses or commission payments
• Relocation assistance
• Participation in Apple's discretionary employee stock programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree