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. Youll 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 productionizing 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 stakeholders. Successfully bridging analytics and business with the ability to speak the language of both.- Influencing upstream data model design drive KPI definitions and develop 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 translate those for US-specific needs.
Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
Familiarity with vector similarity search RAG architectures and LLM prompt evaluation.
Experience co-developing with software engineers in production environments.
Ability to lead development projects from start to finish.
Comfortable with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
Strong collaborator who can work closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
10 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.
Strong time management skills with the ability to collaborate across multiple teams.
Knowledge of best practices in data analysis data visualization and data science.
Ability to balance competing priorities long-term projects and ad hoc requirements.
Ability to work in a fast-paced dynamic constantly evolving business environment.
Bachelorss degree in Computer Science Statistics Mathematics Engineering Economics Applied Mathematics Machine Learning or a related field.
Experience with observability tools for LLMs (e.g. LangSmith Truera Weights & Biases)
Proven experience working with LLMs and GenAI frameworks (LangChain LlamaIndex etc.)
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.
Familiarity with embedding retrieval algorithms agents and data modeling for vector development graphs.
Advanced Degree (MS or Ph.D.) in Economics Electrical Engineering Statistics Data Science or a similar quantitative field.
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 $203300 and $305600 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 Apples 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 Apples Employee Stock Purchase Plan. Youll 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.
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