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Data Analyst Ww Sales Bpr jobs at Apple in United States, Cupertino
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Cupertino
259 jobs found
25.08.2025
A
Apple ML Data Scientist - Marketplace Apple Ads United States, California, Cupertino
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1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple Sr Manager Internal Tools & Operations WW United States, California, Cupertino
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Develop and implement a vision for a new set of AI-driven internal operational tools that power the daily production of the App Store. Define and deploy business operations tools to...
Description:
- Develop and implement a vision for a new set of AI-driven internal operational tools that power the daily production of the App Store.
- Define and deploy business operations tools to automate internal processes.
- Serve as the thought-leader for our internal tools development by working in close collaboration with our Business, Engineering, and HI design teams.
- Identify and deliver 3rd party platforms that help redefine and optimize our global workflows.
- Collaborate with cross-functional leaders in Business, Product, Engineering and HI Design to evangelize the new internal tools' strategy.
- Manage the internal tools product roadmap with our cross-functional partners.
- Manage the ongoing needs of the store operations including identifying, testing, escalating, and fixing production issues with Engineering.
- Have hands-on experience leading change across teams and processes.
- 10+ years of relevant experience building internal tools and operations for a global storefront / platform.
- Experience working with and developing AI tools to optimize business efficiency.
- Deep knowledge of the mobile app ecosystem with a fluency in backend operations and product-forward development experience.
- BA/BS degree or equivalent experience in relevant field.
- Strategic thinker with strong leadership skills and experience developing a vision for internal tools with business and engineering teams.
- Familiar with current LLM ecosystem (OpenAI), prompting and prototyping tools (e.g. ChatGPT, Claude, Replit) and basics of SQL, Tableau, and Python.
- Outstanding verbal and written business communications skills – expertise in building keynote narratives and delivering compelling presentations to senior leaders.
- Excellent interpersonal skills; Highly motived, works well in a fast paced environment and provide ability to lead teams.
- You have a bias towards action, a high sense of urgency, and a willingness to roll up your sleeves and get things done.
- Strong understanding of iOS platform.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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25.08.2025
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Apple US Carrier Sales Business Development Lead United States, California, Cupertino
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10+ years experience in wireless carrier deal development or a related function with experience calling on carriers at the HQ level. Expertise in relationship management, navigating cross-functional teams, crafting deals...
Description:
In this role, you will:
- 10+ years experience in wireless carrier deal development or a related function with experience calling on carriers at the HQ level
- Expertise in relationship management, navigating cross-functional teams, crafting deals and managing negotiations
- Ability to quickly develop, iterate, and maneuver through large-scale contracts and agreements in partnership with legal teams
- Demonstrated strategic agility by identifying and driving new business opportunities
- Proven experience in applying knowledge of carrier market dynamics, consumer offer structures, and business agreements
- A self-starter who works effectively in a dynamic, entrepreneurial environment and manages ambiguity with minimal guidance
- Deep knowledge of the carrier business with the confirmed ability to maintain senior executive relationships, lead complex negotiations, navigate tier one carrier organizational structures; understand distribution strategies; and identify and seize opportunities to deliver outcomes and results
- Bachelor’s degree or equivalent experience
- Knowledge of key technology and telecom trends (e.g. smartphone/tablet/OTT/AI)
- Consultative selling experience for solutions that transform business and strategies for channel growth with carrier partners
- Firm understanding of business principles and experience leading key initiatives
- Proficient in using storytelling techniques to enhance communication
- Expertise in crafting and delivering compelling presentations to executive audiences
- Skilled in synthesizing data and insights to formulate clear, concise messaging and business actions
- Experience in translating complex concepts into relatable stories that drive action
- MBA preferred
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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24.08.2025
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Apple ML Data Scientist - Research Analytics Apple Ads United States, California, Cupertino
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1+ years of experience in analytics and/or data science teams. Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and...
Description:
- 1+ years of experience in analytics and/or data science teams
- Hands-on experience in machine learning, advanced quantitative methods, and model development within exploratory data science, including regression, classification, clustering, and time-series analyses.
- Ability to write code to query and transform both unstructured and structured data, while also serving as a mentor to your team in these areas!
- Programming skills in Python and SQL. Comfort with advanced analytics and data visualization tools such as Pandas, R, Spark, and Tableau
- Experience working with modern data technologies. Familiarity with database modeling and data warehousing principles
- Must be able to guide and lead analysis and model development efforts across teams of data scientists
- Strategic mentality with the ability to condense complex concepts, analysis, and models into actionable, growth marketing data products and strategies
- Ability to create order from complex, poorly-structured problems
- Manage strategic relationships with our partners (e.g., App Store, future businesses)
- Translate insights into narratives that we codevelop with our stakeholders (tension: truth vs story)
- Ensure that results of strategic analyses are a valued input used in making business decisions by stakeholder groups
- Master's degree, or equivalent experience in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics etc.
- 3+ years of experience in analytics and/or data science teams
- Ph.D. in a Quantitative field, such as Computer Science, Applied Mathematics, Econometrics, Operations Research, Social Sciences, Statistics, or equivalent professional experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
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Apple Trust & Safety Threat Analyst/Risk Advisor United States, California, Cupertino
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Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience. 3 years of experience in Trust and Safety, risk management, policy development,...
Description:
This role will: Proactive Risk Assessment & Mitigation: * Collaborate with product teams during planning stages to identify potential Trust and Safety risks associated with proposed features. * Actively participate in feature definition, providing input on mitigations and safety considerations from the outset. * Help evolve and apply our objective risk framework to assess and quantify the level of risk for well-defined features. * In-depth analysis and understanding of the UX and technical design of the feature, with a desire to test comprehensively the different functionalities and feasibility of proposed mitigations. * Develop and recommend optimal mitigation strategies, balancing user safety, trust, feature timelines, level of effort (LOE), and established precedents. * Maintain a comprehensive understanding of emerging threats and trends in online abuse, and apply this knowledge to risk assessments. Safety by Design & Principles: * Contribute to the development and evolution of a core set of Trust and Safety principles to guide product development and inform our safety-by-design practice. * Advocate for the integration of these principles into product development processes. * Work with leadership to ratify these principles and ensure their consistent application across the organization. * Effectively communicate complex Trust and Safety concepts to both technical and non-technical audiences, adapting your approach to meet the team's level of awareness and understanding. * Build trust and rapport with product managers, engineers, designers, and other partners by demonstrating emotional intelligence, understanding their constraints and objectives, and working collaboratively to find industry-leading solutions. * Facilitate constructive discussions about risk mitigation strategies, acknowledging the tradeoffs between safety, user experience, and business goals. * Document risk assessments, mitigation plans, and key decisions in a clear and concise manner. * Champion a culture of safety awareness throughout the product development organization. Continuous Improvement: * Stay informed about industry best practices and emerging technologies related to Trust and Safety. * Contribute to the development and refinement of our objective risk framework.
- Bachelor's degree in a relevant field (e.g., Computer Science, Sociology, Criminology, Legal Studies, Public Policy) or equivalent experience.
- 3 years of experience in Trust and Safety, risk management, policy development, product security or a related field.
- Strong understanding of online safety issues, including child safety, interpersonal safety, and other forms of online abuse.
- Excellent analytical and problem-solving skills, with the ability to identify and assess risks in complex systems.
- Exceptional communication and interpersonal skills, with the ability to influence and collaborate effectively across teams.
- Demonstrated ability to balance user safety with business objectives and technical constraints.
- A pragmatic and solution-oriented attitude, with a willingness to compromise and find creative solutions.
- Ability to work independently and as part of a team in a fast-paced environment.
- Experience working directly with product development teams.
- Familiarity with product development methodologies.
- Knowledge of relevant laws and regulations related to online safety (e.g., DSA, OSA).
- Experience in developing and implementing Trust and Safety policies and procedures.
- Certifications in risk management or related fields.
- Experience presenting to leadership.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
A
Apple Senior AI Data Scientist United States, California, Cupertino
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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...
Description:
As a Senior AI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal stakeholders, leveraging 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 trailblazing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making.
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 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.- Influencing upstream data model design, drive KPI definitions, and develop your own data solutions as needed.- Building and supporting dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
- 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.
- Bachelors's 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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03.08.2025
A
Apple WW Events Experiences Project Manager United States, California, Cupertino
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5-8 years experience project managing or leading events for global brands either in-house or at a premier experiential or marketing agency. 5+ yrs of working in a collaborative corporate environment...
Description:
- 5-8 years experience project managing or leading events for global brands either in-house or at a premier experiential or marketing agency.
- 5+ yrs of working in a collaborative corporate environment with multiple stakeholders.
- Ability to travel up to 40% of the time
- You love event management and thrive throughout the planning and production process.
- A detailed executor with excellent time management skills.
- You are an effective and efficient communicator who takes direction well.
- You are a proactive problem-solver, who is calm under pressure and always willing to roll up your sleeves to get things done.
- You know that even the smallest details matter and are willing to go above and beyond.
- You care deeply about a guest’s experience and ensuring every event you touch is memorable and impactful.
- You are comfortable with both tactical and strategic work, and always deliver.
- You are a passionate and positive teammate who is eager to jump in and support anything and everything.
- You react quickly to new information and direction and seamlessly adapt to change.
- You are highly organized, efficient and resourceful.
- You have a track record of successfully working with a wide range of people across different teams and at different levels.
- Adheres to Apple’s values, high production standards and codes of ethical conduct.
- Works well under pressure, maintaining self-composure and integrity.
- You are able to take direction and move a process forward independently.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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1+ years of recent experience in a data science role. Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary. Familiar...
Description:
This role requires both a broad knowledge of statistics and creativity to invent and customize when vital. You'll dig in and get into the details. The theory behind the techniques are just the beginning. You'll be working on projects where practical applications of these approaches get applied in real-world scenarios. Successful analytics teams involve data scientists and data engineers working hand in hand to build insightful and efficient solutions. In your role, you will be a key player in a multi-functional team that delivers insights that have direct and measurable impact. We're looking for an inquisitive, collaborative, and passionate person to join this amazing team.
- 1+ years of recent experience in a data science role.
- Programming skills in Python and SQL, and familiarity with machine learning, such as scikit-learn, xgboost, PyTorch, SciPy is necessary.
- Familiar with statistical analysis methods, most notably regression analysis, causal inference, statistical learning and A/B and quasi-experimentation methods.
- Demonstrated experience in applying statistics and machine learning to generate clear actionable insights.
- Comfortable with a variety of data stores such as Hadoop, and Snowflake, familiar with distributed analytics engines such as Spark/PySpark.
- Possess exceptional communication skills to communicate analyses in a clear and effective manner to technical audience and executive leadership.
- Demonstrated ability to partner with engineering, meet the data needs of the business, finding creative analytical solutions and develop initial prototypes to address messy business problems.
- Proven ability to operate comfortably and optimally in a fast-paced and constantly evolving environment.
- Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
- 3+ years of recent experience in a data science role.
- Experience in the mobile advertising industry or related field.
- Familiarity with job orchestration frameworks such as Airflow.
- Demonstrated ability to build visualizations, dashboards and enable broader consumption of insights and tools for investigations.
- Post-Bachelor's degree in Data Science, Applied Mathematics, Statistics, Computer Science or relevant field/experience
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Show more
These jobs might be a good fit
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