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 dedicated individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers. As a US DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal partners, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and leading data science projects, crafting analytic experiences that simplify data into insights and catalyze decision making.
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Description
Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models. In this role, you will: - Act 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. - Influence upstream data model design, drive KPIs definitions and develop your own data solutions as needed. - Establish a comprehensive roadmap to communicate and manage our commitments and customer expectations while enabling org-wide transparency on progress. - Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data. - Leverage available AI/ML models across the company and translate those for US-specific needs.
Minimum Qualifications
- Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
- Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
- 6+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
- Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
- Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
- Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
- Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
- Knowledge of project management and productivity tools such as Wrike, Sketch.
- Expertise in data analysis, data visualization, and data science.
- Ability to work in a fast-paced, dynamic, constantly evolving business environment.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or related field.
Preferred Qualifications
- Strong experience articulating and translating business questions into data solutions.
- Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
- 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.
- Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.).
- Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
- Advanced Degree (MS or Ph.D.) in Economics, Finance, Electrical Engineering, Statistics, Data Science, or similar quantitative field.
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 $165,500 and $248,700, 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 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.
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