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2,343 jobs found
09.09.2025
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Apple Senior Data Scientist - Experimentation United States, West Virginia
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8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
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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09.09.2025
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Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
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7+ years of coding skills. Background in computer science: algorithms and data structures. Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes. Proficient in designing, developing, and...
Description:
- 7+ years of coding skills
- Background in computer science: algorithms and data structures
- Experience with AWS Services such as Amazon S3 EC2 EKS / Kubernetes
- Proficient in designing, developing, and deploying high-performance, reliable, and scalable software solutions in production
- Excellent interpersonal skills able to work independently as well as in a team
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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09.09.2025
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Apple Senior Data Scientist - Business Analytics United States, West Virginia
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Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance. Lead partnerships with cross functional teams to define collaboration model...
Description:
- Define and guide analysis for the entire lifecycle of media advertising products, from sales planning to ad delivery and performance.
- Lead partnerships with cross functional teams to define collaboration model and outline business needs into data and analysis requirements.
- Translate ambiguous business requirements into actionable insights with an uncompromising emphasis on accuracy.
- Lead the inventory management process and develop a comprehensive strategy, defining the supply availability at various News/Media topics.
- Lead business analytics projects through all phases, including defining investigations, exploring data, conducting analysis, interpreting, and presenting results for customers.
- 8+ years of Business Analytics or News/Media advertising experience.
- Strong data analysis skills to conduct deep dives by applying data science to generate actionable insights.
- Exceptional communication skills, with the ability to communicate complex analyses in a clearly to executive leadership and technical audience.
- Demonstrated ability to collaborate with advertisers to design tests to demonstrate effectiveness of Apple Ads, collaborate with sales and product leadership to manage ads inventory, and collaborate with product leadership to solve challenging product problems.
- Proficiency in SQL, python and familiarity with data stores such as Hadoop and Snowflake.
- Bachelor's degree in a related field of study, or equivalent industry experience.
- 11+ years of Business Analytics or News/Media advertising experience.
- Experience and knowledge of ad tech, digital and mobile advertising experience is a big 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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09.09.2025
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Apple AIML - Sr Engineering Program Manager Cloud Infrastructure United States, West Virginia
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10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base,...
Description:
- Work closely with Engineering, Finance, Procurement, and Release teams in support of projects to scale cloud infrastructure and ensure maximum availability of public-facing services including specifications, scope, requirements, timelines, and resource allocation.- Gather requirements and define qualification plans for new infrastructure build-outs and services.- Provide timely updates for all project milestones; both org-level updates and exec-level status.
- 10+ years of Product and/or Program management with experience covering as many of the following as possible: search engine infrastructure, internet services, distributed computing, a large-scale & international user base, a product with external dependencies (e.g. partner data feeds), and responsibility for rapid-response actions.
- Strong technical experience with cloud infrastructure, large scale systems, Linux/server operating systems running on containers, big data, and networking. Bonus points for past Engineering experience.
- Career examples of hands-on involvement in delivering operational frameworks, tools, and processes that improved the customer experience.
- Self-motivated, independent, and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage, prioritize, and lead cross-functional teams under pressure.
- Outstanding communication and presentation skills, written and verbal, to all levels of an organization. High operational precision and attention to detail.
- Innate drive to improve how things work, with proven track record of driving dramatic improvements for team quality, performance, agility, or effectiveness.
- BS/MS in EE/CS/CE or similar field
- BS/MS EE/CS/CE or equivalent
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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09.09.2025
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Apple Security Software Engineer Data Protection United States, West Virginia
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Excellent C and systems programming skills. Strong understanding of operating systems internals. Industry exposure to and knowledge of OS security and applied cryptography. Ability to deliver solid work on tight...
Description:
- Excellent C and systems programming skills
- Strong understanding of operating systems internals
- Industry exposure to and knowledge of OS security and applied cryptography
- Ability to deliver solid work on tight schedules
- Excellent teamwork skills. We work with all engineering teams involved in these products, and on all of their code
- Understanding of past, current, and emerging security exploits
- iOS and macOS exposure (end user, administrator, developer)
- Kernel programming
- Hypervisor design and architecture
- Involvement in open source technologies and development communities such as FreeBSD and Linux
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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09.09.2025
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Apple Product Marketing Manager Apple Ads United States, West Virginia
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Bachelor's Degree in Business, Marketing or equivalent experience. 10+ years as a product marketer in the tech or digital advertising industry. Shown success developing and delivering product positioning, value propositions,...
Description:
We're looking for a passionate product marketer to help drive the success of new Ads products and features. As a key member of the Ads product marketing team, you’ll help shape product strategy and business decisions through research, cross-functional partnerships, and smart go-to-market strategies. You’ll work on marketing initiatives that drive awareness and adoption of our products, and you’ll represent the voice of the customer to influence the product roadmap and requirements. You’ll be a product expert with extraordinary attention to detail and a willingness to obsess over details.
- Develop product positioning, value propositions, narratives, and marketing messages that resonate with our audiences, including app developers of all sizes, agencies, and marketers.- Develop go-to-market strategies for new features and products.
- Bachelor's Degree in Business, Marketing or equivalent experience.
- 10+ years as a product marketer in the tech or digital advertising industry
- Shown success developing and delivering product positioning, value propositions, and narratives, using insights for maximum impact.
- Comprehensive understanding of the product development and smart go-to-market strategies for B2B businesses.
- Ability to craft compelling narratives that result in business impact.
- Exceptional written and oral communication skills, storytelling skills, and strong ability to facilitate discussions and deliver presentations.
- Understanding of technical aspects of product development, including the ability to communicate effectively with engineers.
- Effective interpersonal skills with the ability to listen and socialize ideas across functions.
- Excellent project management, organizational, analytical, and creative thinking skills.
- Ability to learn and adapt quickly to constant change and work effectively in a fast pace environment.
- Ability to channel the voice of the customer into actionable recommendations.
- Self-starter who can work independently and is able to demonstrate creative and critical thinking.
- Extraordinary attention to detail.
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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09.09.2025
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Apple Software Engineer Data Ai & Platforms United States, West Virginia
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Experience building enterprise-level data applications on distributed systems. Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query. Programming experience in building high-quality software...
Description:
We engineer high-quality, scalable and resilient distributed systems on cloud that power data exploration, analytics, and production models. Our core systems are diverse and come with an unusual intersection of high data volumes with systems distributed across cloud and on-premise infrastructure. This role will build solutions that integrate open source software with Apple’s internal ecosystem. You will drive development of new components and features from concept to release: design, build, test, and ship at a regular cadence. You will work closely with internal customers to understand their requirements and workflows, and propose new features and ecosystem changes to streamline their experience of using the solutions on our platform. This is a challenging software engineering role, where a large part of an engineer's time is spent in writing code and designing/developing applications on cloud, with the remainder being spent on tuning and debugging codebase, supporting production applications and supporting our application end users. This role requires in-depth knowledge of innovative technologies and cloud data platform with the ability to independently learn new technologies and contribute to the success of various initiatives.
- Experience building enterprise-level data applications on distributed systems
- Knowledge of BI concepts and implementation experience on Cloud with databases like Snowflake or Big Query
- Programming experience in building high-quality software with at-least one of the following programming languages - Python, Scala or Java.
- Experience in developing highly optimized SQLs, procedures & semantic process for distributed data applications.
- Familiarity with foundational concepts in Generative AI (e.g., Large Language Models, prompt engineering)
- Bachelor's degree in Computer Science or equivalent experience
- Hands-on experience in designing and development of cloud-based applications that include compute services, database services, APIs to design RESTful services, ETL, queues and notification services.
- Experience in cloud data warehousing platforms like Snowflake is highly valued
- Experience developing Big Data applications using Java, Spark, Kafka is a huge plus
- Data Visualization Tools: experience in software such as Streamlit, Superset, Tableau, Business Objects, and Looker
- Data Insights and KPIs: Working experience on generating and visualizing data insights, metrics, and KPIs. Usage of GenIA , basic ML models in the area of anomaly detection, forecasting)
Bachelor's degree in Computer Science or equivalent experience
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Share
8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred. Analysis: Conduct rigorous, end-to-end...
Description:
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference. Industry experience in SDLC is preferred.
- Analysis: Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods to uncover insights and improve treatment effect estimates.
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials. Experience in marketplace experimentation is a bonus.
- Familiarity with causal machine learning tools and technologies. Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables.
- Design and analyze controlled experiments or counterfactual causal inference studies to estimate the incremental and long term impact of interventions. Experience in measuring advertiser value from campaigns or algorithmic changes is a huge plus.
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products (pipelines and dashboards) to automate experiment reporting at scale.
- Lead the design, development, and maintenance of scalable and reliable data pipelines. Implement robust data quality checks, monitoring systems, and data lineage tracking. Advocate best practices for data engineering.
- Strategic Partnership: Work directly with stakeholders, including senior leaders, to identify, scope, and prioritise high-impact questions.
- Advanced Degree in Computer Science, Statistics, Applied Math or related field.
- Skilled at operating in a cross-functional organization.
- Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
- Curious business attitude with a proven ability to seek projects with a sense of ownership.
- Excellent communication, social and presentation skills.
- Desire to work in a fast-paced and challenging work environment.
- Mentor junior engineers and scientists on the team.
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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