Data Scientist and Insights Lead

Data Scientist and Insights Lead

Cupertino, California, United States

Sales and Business Development

Summary

Posted: Sep 29, 2025

Weekly Hours: 40

Role Number:

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.

Description

In this role, you will be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You’ll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:

• 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. Successfully bridging analytics and business, with the ability to speak the language of both.

• 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.

Responsibilities

• You’ll primarily partner with business stakeholders to align priorities and deliver high-quality science and analytics that power decision automation and optimize performance.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

Pay & 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.

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 ( .

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 ( .

Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation.

Apple participates in the E-Verify program in certain locations as required by law.Learn more about the E-Verify program ( .

Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more .

Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines applicable in your area.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.