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מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

דרושים Logistics Technician Data Center ב-אפל ב-ארהב

מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Logistics Technician Data Center ב-United States והצטרפו לרשת החברות המובילות בתעשיית ההייטק, כמו Apple. הירשמו עכשיו ומצאו את עבודת החלומות שלך עם אקספוינט!
חברה (1)
אופי המשרה
קטגוריות תפקיד
שם תפקיד (1)
United States
אזור
עיר
נמצאו 716 משרות
09.09.2025
A

Apple Senior Data Scientist - Experimentation United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
  • 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 Senior Data Scientist - Business Analytics United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
  • 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
A

Apple Software Engineer Data Ai & Platforms United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
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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09.09.2025
A

Apple AIML Data Operations Annotation Analyst - Austrian German Mo... United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
  • Austrian German reading, writing, and comprehension skills to support the language specific market
  • Fluency in English reading, writing and comprehension skills to partner with international teams
  • Excellent active listening skills with the ability to understand verbal nuances
  • Understanding of the local region and cultural variations
  • Demonstrates integrity and focuses on customer privacy
  • Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
  • Highly organized with strong attention to detail
  • Ability to independently navigate systems and tools
  • Experience in content review or a similar environment, prior testing experience preferred
  • Demonstrates flexibility and adaptability to changing work-flows and responsibilities
  • Grows with a team where expertise is shared and feedback is welcomed
  • Excels at working independently to make timely decisions and take appropriate actions
  • Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
  • Successfully meets or exceeds targets, working within tight deadlines
  • Ability to identify business process solutions that increase efficiencies
  • Ability to maintain focus and aim for high results through large volumes of tasks
  • Ability to work on safety data which could include offensive material
  • Thrives in repetitive work and ambiguous scenarios
  • Bachelor’s degree or equivalent job-related experience
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09.09.2025
A

Apple Software Engineer - Data United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
Our team is a group of engineers dedicated to reusable design and architecture, working together to deliver elegant, extensible, and high-quality engineering solutions. In this role, you will be collaborating with software developers, data engineers, and project managers to understand their requirements and translate them into scalable, reliable, and efficient data pipelines, data processing workflows, and machine learning pipelines. We are looking for individuals who share those values and want to improve and extend our services and products.
  • Technologies: Python, SQL, NoSQL, Swift or equivalent, Snowflake or equivalent, Temporal or equivalent
  • Knowledge: data modeling, data infrastructure, analytics, problem solving, debugging, testing, writing and maintaining high quality code. Ability to translating business requirements into technical solution
  • User-focused: passion for quality, attention to details and delivering outstanding user experiences
  • Collaboration: excellent communication skills.
  • Experience in building Cloud Data Warehouses in Snowflake, Redshift, BigQuery or analogous architectures.
  • Experience with the practical application of data warehousing concepts, methodologies, and frameworks.
  • Experience using data processing tools and technologies such as Spark, Talend, Informatica, SSIS or DBT
  • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime and reliability in mind
  • Able to confidently express the benefits and constraints of technology solutions to technology partners, stakeholders, and team members.
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 Distribution Center Operations Program Manager United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
• Program Leadership:Lead and coordinate strategic programs across a global portfolio of distribution centres, ensuring alignment with company goals and supply chain initiatives.• Global Site Performance Oversight:Partner with site leaders to monitor performance, enforce operational standards, and identify and implement best practices across sites in AMR, EMEIA and APAC• Project Execution:Manage end-to-end lifecycle of global DC projects (e.g., new product introduction scale planning to ensure consistent methodologies and reporting across the regions on infrastructure, headcount and capacities.)• Data & Performance Analytics:Develop and track KPIs for distribution centre operations; use data to recommend strategic and tactical improvements.• Cross-Functional Collaboration:Work with DC Operations, DC third party suppliers, supply chain, BPR (Business process improvement), transportation, IT, finance, and commercial teams to align DC operations with broader business needs.• Communications:Prepare and present reports to senior leadership on program updates with findings, recommendations. Being able to hold teams accountable to timelines and data preparation.
  • Bachelor’s degree in Engineering, Operations Management, Business Administration, or a related field.
  • Strong analytical skills, with the ability to interpret data and make data-driven decisions.
  • Excellent communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
  • Must have phenomenal presentation skills with a keen eye for detail, and expertise in synthesizing complex information for a wide range of audiences.
  • 7+ years experience in Logistics-related Distribution Center Operations Management
  • Good interpersonal, teamwork, presentation and communication skills
  • Strong project management skills and the ability to work to tight project deadlines
  • Deep understanding of supply chain, logistics, and eCommerce operations - ideally in an Apple context.
  • Ability to learn quickly, adapt and can problem-solve on the fly.
  • Be comfortable working with a high level of ambiguity and delivering results in an unstructured environment.
  • Can prioritize strategic objectives which optimize for speed, cost, and environmental impact while also achieving high-value tactical outcomes.
  • Analytical mindset and ability to use data effectively to size, prioritize, and stitch business elements to influence through effective storytelling.
  • An excellent teammate who can influence through collaboration and leadership, and are able to work effectively with other teams, bringing them along for the journey is essential.
Expand
Limitless High-tech career opportunities - Expoint
תיאור:
  • 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
בואו למצוא את עבודת החלומות שלכם בהייטק עם אקספוינט. באמצעות הפלטפורמה שלנו תוכל לחפש בקלות הזדמנויות Logistics Technician Data Center בחברת Apple ב-United States. בין אם אתם מחפשים אתגר חדש ובין אם אתם רוצים לעבוד עם ארגון ספציפי בתפקיד מסוים, Expoint מקלה על מציאת התאמת העבודה המושלמת עבורכם. התחברו לחברות מובילות באזור שלכם עוד היום וקדמו את קריירת ההייטק שלכם! הירשמו היום ועשו את הצעד הבא במסע הקריירה שלכם בעזרת אקספוינט.