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דרושים Data Scientist - Strategic Solutions ב-אפל ב-ארהב

מצאו את ההתאמה המושלמת עבורכם עם אקספוינט! חפשו הזדמנויות עבודה בתור Data Scientist - Strategic Solutions 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 856 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 Strategic Planning Lead Sports & Entertainment United States, West Virginia

Limitless High-tech career opportunities - Expoint
תיאור:
You will be responsible for developing integrated media strategies within Apple Services. Additionally, you will manage workflow between external and internal media teams and the implementation of each strategy. You will analyze the performance of media channels and provide insights to ensure key partners understand plans, optimizations and results. In addition to developing sophisticated external marketing strategies, you will position yourself as the strategic thought leader for your business stakeholders and provide direction on how they allocate budgets, effectively leverage media for their needs while providing insight on branding and messaging within creative. Your ability to clearly communicate challenges, solutions, recommendations, and perspectives will be integral to the team’s success in a constantly evolving environment.
  • 5+ years media planning and strategy experience
  • Expertise in cross channel tactical planning for full funnel media campaigns
  • Familiarity with traditional media channels (OOH, TV), digital advertising and social media platforms and their relationship with each other in multifaceted, integrated campaigns
  • Experience collaborating with internal channel buying teams to execute successful campaigns while managing the expectations and needs of key stakeholders
  • Demonstrated ability to leverage data and insights to build audience profiles, create clear communication plans, and develop channel level marketing strategies that tie back to business objectives
  • Track record of measuring impact through different testing and measurement solutions with the ability to also share results and future recommendations in a digestible way
  • Knowledge of sports marketing, and/ or streaming entertainment is a must
  • BS/BA degree required
  • A self-starter who can work autonomously with agility, prioritize effectively, and manage multiple projects at one time
  • Strong interpersonal skills with the ability to manage relationships effectively
  • Excellent presentation, written and verbal communication skills to all levels of an organization
  • Proficiency working within syndicated research sources (MRI/ Simmons, comScore, etc.) and social listening tools a plus
  • Previous media agency experience 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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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
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 Data Scientist - Strategic Solutions 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.