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Data Specialist jobs in United States, California, Cupertino
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Job title (1)
United States
California
Cupertino
181 jobs found
09.11.2025
A
Amazon Sr Data Scientist Annapurna Labs ML Acceleration Power Archi... United States, California, Cupertino
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Key job responsibilities Develop and maintain integrations using RESTful services, SOAP, and database connections Develop endpoints in systems (e.g. NetSuite) that connect to AWS Architect robust error management and control...
Description:
Preferred Qualifications
Description
Key job responsibilities
- Develop and maintain integrations using RESTful services, SOAP, and database connections
- Develop endpoints in systems (e.g. NetSuite) that connect to AWS
- Architect robust error management and control systems
- Conduct code reviews and maintain high code quality standards
- Create comprehensive technical documentationTechnical Expertise:
- Deep knowledge of AWS services, including: Lambda, S3, Redshift, API Gateway, CloudWatch, EventBridge, SQS, SNS, B2B Data Interchange
- Experience building APIs and system integrations
- Excellent background in systems integration and data processing
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with distributed systems at scalePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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14.10.2025
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Amazon Principal Customer Success Specialist - United States, California, Cupertino
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You'll bring a proven track record of structuring and closing enterprise level partnerships, along with deep experience in solution based selling. Working closely with cross functional teams, you'll align partnership...
Description:
Basic Qualifications
Description
You'll bring a proven track record of structuring and closing enterprise-level partnerships, along with deep experience in solution-based selling. Working closely with cross-functional teams, you'll align partnership strategies with product capabilities, ensuring successful integration and adoption of our APIs.
Key job responsibilities
* Initiate, develop, and oversee relationships with our most-strategic internal partners and our executive sponsors.
* Understand the needs of our Selling Partners and influence or grow our technology partners to address those needs.
* Manage complex relationships and business and technical requirements.
* Work with internal and cross functional teams to create and execute on strategic API business plans, inclusive of innovative demand generation, strategic GTM activities, and co-marketing campaigns,
* Drive results through business reviews to manage progress against a business plan.
* Implement programmatic mechanisms with key internal stakeholders that will allow us to operate at scale.
Basic Qualifications
- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience developing strategies that influence leadership decisions at the organizational level
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
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25.08.2025
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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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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 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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02.08.2025
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Apple Global Security Specialist - Executive Protection United States, California, Cupertino
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Ability to communicate effectively with all levels of leadership, possessing strong written and verbal communication skills, collaborative abilities, and attention to detail. Must be able to work with highly confidential...
Description:
- Ability to communicate effectively with all levels of leadership, possessing strong written and verbal communication skills, collaborative abilities, and attention to detail
- Must be able to work with highly confidential information
- A minimum of 8+ years professional experience in executive protection, law enforcement, or military special operations is required
- Demonstrated experience in protection concepts to include protective intelligence, secure transportation, contingency planning, counter surveillance, and have experience in international and domestic travel
- Working knowledge of physical security systems to include, but not limited to intrusion detection systems, CCTV, and other security related software/hardware
- Bachelors degree preferred
- Tech sector and leadership experience highly desirable
- 5+ years experience in a corporate executive protection role preferred
- Technologically savvy with strong computer skills and proficient in the development of Keynote presentations
- Ability to work under stressful conditions and often times in ambiguous environments remaining calm under pressure
- Skilled in being able to quickly collect, analyze, and disseminate information in a timely manner
- Self-motivated, able to work without direct supervision, and understand security concepts and theories
- Adept at identifying and managing vendors for concurrent projects globally
- Exceptional organizational, time management, and problem solving skills
- Capable of sitting, standing, and walking for extended periods of time as well as hiking/backpacking for several miles at a time in austere environments
- Basic medical training preferred. Advanced certifications are a plus.
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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02.08.2025
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Apple Metrics Data Engineer United States, California, Cupertino
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2+ years doing quantitative data analysis. 2+ years SQL experience. 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java,...
Description:
This is a hybrid data science / data engineering role. You’ll build data products and tools to support collaborative decision-making with our partner teams in data science, engineering, and product management. We need candidates who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics. You're willing to learn fast, and adapt well to changing requirements and new technology stacks.You'll develop analysis around product metrics data, and ensure the data meets high quality standards. We work closely with Maps Client, Engineering and Data Platform teams to find opportunities for improving data collection. You'll build relationships across Maps data ecosystem to understand end-to-end processes and how Maps information moves from device to data repositories and dashboards.
- 2+ years doing quantitative data analysis.
- 2+ years SQL experience
- 2+ years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java, Scala)
- Experience using git for version control
- Experience in designing analytic solutions to open-ended problems
- Experience in building relationships across teams, communicating technical content and analytical insights to teams from various disciplines
- Conduct hands-on data investigations and be passionate about our data and domain knowledge.
- Prior industry experience with Docker and Kubernetes
- Prior industry experience with building anomaly detection systems
- Prior industry experience with Big Data using technologies like Hadoop, Hive, and Spark
- Prior industry experience with building dashboards and visualizing data in technologies like Tableau, Dash, Plotly, etc.
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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These jobs might be a good fit
Share
Key job responsibilities Develop and maintain integrations using RESTful services, SOAP, and database connections Develop endpoints in systems (e.g. NetSuite) that connect to AWS Architect robust error management and control...
Description:
Preferred Qualifications
Description
Key job responsibilities
- Develop and maintain integrations using RESTful services, SOAP, and database connections
- Develop endpoints in systems (e.g. NetSuite) that connect to AWS
- Architect robust error management and control systems
- Conduct code reviews and maintain high code quality standards
- Create comprehensive technical documentationTechnical Expertise:
- Deep knowledge of AWS services, including: Lambda, S3, Redshift, API Gateway, CloudWatch, EventBridge, SQS, SNS, B2B Data Interchange
- Experience building APIs and system integrations
- Excellent background in systems integration and data processing
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with distributed systems at scalePursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Show more
These jobs might be a good fit
Find your next career move in the high tech industry with Expoint. Our platform offers a wide range of Data Specialist job opportunities in the United States, California, Cupertino area, giving you access to the best companies in the field. Whether you're looking for a new challenge or a change of scenery, Expoint makes it easy to find your perfect job match. With our easy-to-use search engine, you can quickly find job opportunities in your desired location and connect with top companies. Sign up today and take the next step in your high tech career with Expoint.