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1,468 jobs found
09.09.2025
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Apple Senior Data Scientist - Experimentation United States, West Virginia
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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
A
Apple AIML - Sr/Staff ML Engineer Machine Learning Platform & Inte... United States, West Virginia
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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 EMEIA Education Sales Development & Operations Executive United States, West Virginia
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Description:
As a Sales Development & Operations Executive, you will be responsible for developing new initiatives to support the growth plan of the EMEIA Education Sales segment whilst leading established end-to-end business processes. The successful candidate will have the ability to work effectively and efficiently across multiple organisations.
- Problem-Solving Skills: Ability to identify bottlenecks and propose effective solutions. Inherent curiosity to connect the dots,
- Cross-Functional Collaboration: experience working with sales, finance and IT teams.
- Project Management: strong organisational skills to handle multiple projects and deadlines with a strategic mindset and exceptional attention to detail.
- Business Acumen: Solid understanding of sales cycles, key metrics, and KPIs and understanding broader business strategies and market trends.
- Adaptability: Flexibility to adjust to evolving processes, new tools, and shifting priorities.
- understand all aspects of business operations, and uncover new opportunities to do things better and quicker.
- Communication: exceptional verbal and written communication skills, with the ability to distill complex analyses into clear, actionable business insights.
- Sales Process Knowledge: Experience with data visualisation tools: Tableau dashboard design, development, and publishing.
- Experience with CRM systems (e.g. Salesforce) is a plus
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09.09.2025
A
Apple Senior Data Scientist - Business Analytics United States, West Virginia
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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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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
A
Apple Security Software Engineer Data Protection United States, West Virginia
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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
A
Apple Software Engineer Technical Operations & Site Reliability Co... United States, West Virginia
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Description:
- Experience in using AI and Large Language Models (LLMs) to enhance operational efficiency through tasks such as model training, optimisation (including areas like Model Context Protocol or similar methods), and designing effective model utilities.
- Understanding of standard networking protocols and components such as: HTTP, DNS, TCP/IP, ICMP, the OSI Model, Subnetting and Load Balancing.
- Experience in Java, JEE, REST, Swift/Objective C, database schema design and data access technologies.
- Experience in driving operations teams for large scale mission critical applications working in a 24x7 operations across multiple locations and geographies.
- Experience in interpreting data from systems like Hubble, ExtraHop, Splunk and other monitoring tools along with hands on experience of production monitoring systems, log analysis, troubleshooting, support dashboards and proficiency in scripting languages and automation tools.
- Excellent interpersonal skills. Proactive, with a strong sense of personal ownership.
- Bachelor’s degree in Engineering or equivalent.
- Experience in strategising and achieving operational excellence in global distributed systems.
- Fundamental understanding of distributed systems including: Micro services, Messaging Brokers and Versioning.
- Understanding of the Linux Operating System, including Kernel, Memory, Process, Threads, Static / Shared Libraries, IPC and Signals.
- Excellent organisational and documentation skills.
- Worried that you don’t quite tick all the above boxes? If you are excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to apply anyway. You may very well be the right candidate.
Expand
Share
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.
Expand
These jobs might be a good fit
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