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Data Scientist - Business Analytics jobs at Apple in United States, Austin
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Austin
122 jobs found
03.08.2025
A
Apple Data Scientist AppleCare Business Insights United States, Texas, Austin
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Bachelor degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field. Minimum 5-8 years of applicable experience as a data scientist or business analytics/intelligence professional. Experience of dataset...
Description:
- Bachelor degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field.
- Minimum 5-8 years of applicable experience as a data scientist or business analytics/intelligence professional
- Experience of dataset generation and visualization using SQL and visualization platforms such as Tableau/ Power BI.
- Proficiency in Python and data manipulation libraries.
- Strong understanding of statistical modeling, machine learning algorithms, and evaluation metrics.
- Strong communication skills and ability to distill information from large data sets and results into simple concepts and actionable insights for a variety of audiences.
- Masters degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field.
- A strong passion for analytics with the ability to work closely with business teams, understand business requirements, and handle sophisticated projects related to data-driven initiatives.
- Strong visualization skills using Tableau with a keen eye for design.
- Can easily cut through ambiguity and can rapidly understand complex business processes and details.
- Prioritizes workload, managing multiple and often competing tasks, and meets deadlines for a
- variety of deliverables.
- Excellent verbal and written communicator with the ability to tailor the message to the audience.
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03.08.2025
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Apple Data Scientist - Strategic Solutions United States, Texas, Austin
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BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) preferred. At least 3 years experience working as a data/business analyst, auditor, or related role. Competent...
Description:
• Support discovery of business problems • Manage program performance metrics • Perform data discovery and create proof of concepts • Perform ad-hoc and reoccurring statistical analyses • Work with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners • Present results of analyses to business units and executive leadership
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) preferred
- At least 3 years experience working as a data/business analyst, auditor, or related role
- Competent with SQL, big data systems and tools. Ability to do statistical analysis in any one of these languages: Python, R, Java, etc.
- Experience applying analytical techniques to provide solutions to real business problems
- Competent with Tableau
- Experience providing business intelligence to drive better decision-making
- Experience eliciting business requirements and executive metrics
- Experience building executive level business cases and project plans
- Strong interpersonal skills with ability to connect and develop strong partnerships
- Creativity to go beyond current tools to deliver best solution to the problem
- Inquisitiveness and a desire for continued self-improvement and development of new skills
- Comfort working independently and making key decisions on projects
- Ability to tell meaningful stories with data
- Strong verbal / written communication skills
- Any experience with Python is preferred
- Any experience working in fraud (retail, payments, shipping, identity, etc.) is a bonus
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02.08.2025
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Apple Senior Technical Program Manager – Strategic Data Solutions United States, Texas, Austin
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Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field. 5+ years of technical program or product management experience. Strong experience working with machine learning, analytics, or data...
Description:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field
- 5+ years of technical program or product management experience
- Strong experience working with machine learning, analytics, or data science-driven programs
- Proven ability to lead high-impact, cross-functional initiatives with multiple decision points and success metrics
- Skilled at translating ambiguous business needs into well-scoped, data-driven projects
- Excellent organizational, prioritization, and communication skills
- Comfortable operating in fast-paced environments with evolving requirements
- Experience managing multiple ML or analytics decision points within a large-scale or enterprise program
- Familiarity with modern data and ML tooling (e.g., Airflow, Spark, Snowflake, model monitoring tools)
- Strong problem-solving skills with an ability to balance short-term urgency with long-term strategy
- Track record of influencing through metrics, vision, and collaborative leadership
- Clear, confident communicator who can adapt between technical detail and executive-level storytelling
- Passion for building high-performing teams and fostering inclusive, values-driven program culture
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02.08.2025
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Apple SW Engineer - Data Services GenAI AiDP United States, Texas, Austin
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Bachelor's Science in Computer Science or equivalent focus area. 2+ years of industry experience in software development or production operations experience in a large-scale environment. 1+ year experience with shell...
Description:
You will be eager to learn various deployment models, RAG based apps and explore cutting edge technologies(Mistral, Haystack) that aid in design and development of self-healing applications. You will be ready to learn and explore cutting edge technologies in distributed computing and big data. You like to automate anything which you do and you document it for the benefit of others.
- Bachelor's Science in Computer Science or equivalent focus area
- 2+ years of industry experience in software development or production operations experience in a large-scale environment
- 1+ year experience with shell & python scripting, Linux system internals
- Experience with deploying, supporting OR monitoring services, platforms, OR application stacks
- Kubernetes experience in industry
- Master's Science in Computer Science or equivalent
- 2+ years of experience in designing and managing large scale production grade deployments both in on-prem and in the cloud (any one of AWS, Azure, and GCP) with a focus on their included ML services
- Basic understanding of distributed database architectures with MPP / OLTP
- Comfortable working in a fast-paced environment while continuously evaluating emerging technologies. Familiarity with logging and observability technologies such as Splunk, Grafana, Prometheus or similar technologies.
- Experience with containers and container orchestration platforms such as Docker, Kubernetes, or similar
- Strong understanding of data structures & algorithms- skips lists, B-trees and inverted indices
- Strong problem solving skills, with the ability to break down complex problems into manageable components to develop innovative solutions
- Ability to adapt to changing priorities, technologies and requirements swiftly with a desire to learn and grow
- Effective time management skills with the ability to prioritize tasks, manage multiple projects and meet deadlines
- Excellent verbal and written communication skills, able to work collaboratively with cross-functional teams, including data scientists, program managers and engineers
- Experience in Open Source software development using GitHub and CI/CD is desirable
- Exposure to data pre-processing, feature extraction and data visualization tools is preferred
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02.08.2025
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Apple Software Engineering Manager - Enterprise Business Apps United States, Texas, Austin
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4+ years of experience in software engineering, with leadership experience. Proven expertise in architecting and building enterprise applications. Strong backend development experience developing Java/J2EE applications with proven track record of...
Description:
- 4+ years of experience in software engineering, with leadership experience.
- Proven expertise in architecting and building enterprise applications.
- Strong backend development experience developing Java/J2EE applications with proven track record of developing highly reliable and scalable systems.
- Good understanding of authentication and authorization mechanisms, including OAuth, JWT, and/or other identity and access management protocols.
- Good understanding of object oriented techniques, algorithms, Java design patterns and reusable component design.
- Experience with Oracle database: design database schemas, write and tune SQL queries, debug performance issues and optimization.
- Hands-on experience with API development and security best practices.
- Ability to define technical roadmaps and drive engineering execution in a cross-functional, fast paced environment.
- Proven record of completing projects on-time and to specification.
- Strong analysis, problem solving, and troubleshooting skills.
- Good verbal and written communications skills.
- Strong ability to mentor, grow, and inspire engineering teams while fostering a culture of technical excellence and innovation.
- Familiarity with performance optimization for large scale systems.
- Experience with distributed systems and microservices architecture.
- Excellent prioritization and scheduling skills.
- Ability to deal with ambiguity.
- Exposure to zero-trust security principles and modern identity verification techniques.
- B.S. in Computer Science or related fields, or equivalent experience
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01.08.2025
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Apple Data Science Analytics Partner AppleCare Digital United States, Texas, Austin
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Advanced degree (MS / MBA / PhD) in a quantitative field such as Data Science, Statistics, Operations Research, Engineering, Computer Science, Information Technology, Mathematics, Physics, Finance, Economics or a similar...
Description:
Coordinate across cross-functional areas to generate, handle and implement new initiatives, track status, and identify critical issues and their resolution. Partner with peers to build and prototype analyses pipelines that provide insights at scale. Evangelize adoption of standard methodologies and build greater awareness of common data analysis pitfalls.
- Advanced degree (MS / MBA / PhD) in a quantitative field such as Data Science, Statistics, Operations Research, Engineering, Computer Science, Information Technology, Mathematics, Physics, Finance, Economics or a similar quantitative field.
- 5+ years of industry experience in an Analytics/Data role. Ability to work hands-on with data.
- Experience navigating through complex organizational structures and influencing business partners and customers in decision making.
- Experience working in diverse cross-functional teams to drive results and providing expertise and direction on analytics, data science, experimental design, and measurement.
- Experience articulating and translating business questions and using analytics and data science techniques to answer those questions.
- Experience in producing powerful visualizations and dashboards that balance both art and science (using Tableau/D3, etc).
- 3+ years of experience in an internal or external Consulting or Strategy capacity
- Experience with Customer interaction systems and technologies such as IVR, Phone, Chat, Apps and other Digital Channels is highly preferred.
- Experience and familiarity with AI technology systems, and a deep understanding of the latest technology advancements in the GenAI space is preferred.
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01.08.2025
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Apple Site Reliability Engineering SRE - Apple Data Platform United States, Texas, Austin
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BS/MS in Computer Science or Equivalent. 5+ years of software development or production operations experience in a large-scale environment. Proficiency in authoring and releasing code in Go, Python, or Java...
Description:
- BS/MS in Computer Science or Equivalent
- 5+ years of software development or production operations experience in a large-scale environment
- Proficiency in authoring and releasing code in Go, Python, or Java using common configuration management and software delivery platforms
- Experience operating production applications at scale, including well designed performance testing, HA and disaster recovery concepts, capacity planning, and managing distributed systems on internal and public cloud infrastructure, principally Kubernetes
- Understanding of the Linux Operating System, containers and virtualization, standard networking protocols, and components
- Strong sense of ownership and integrity demonstrated through clear communication and collaboration
- Demonstrates excellent troubleshooting and problem solving skills using the scientific method
- Proficiency with the architecture, deployment, performance tuning, and troubleshooting of open source data analytics and data governance technologies, especially Apache Spark, Flink, Hive, Hadoop/HDFS, or other related software
- The successful candidate is frustrated with toil and has an acute drive to both automate manual operations and evolve them into automatic processes
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These jobs might be a good fit
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Bachelor degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field. Minimum 5-8 years of applicable experience as a data scientist or business analytics/intelligence professional. Experience of dataset...
Description:
- Bachelor degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field.
- Minimum 5-8 years of applicable experience as a data scientist or business analytics/intelligence professional
- Experience of dataset generation and visualization using SQL and visualization platforms such as Tableau/ Power BI.
- Proficiency in Python and data manipulation libraries.
- Strong understanding of statistical modeling, machine learning algorithms, and evaluation metrics.
- Strong communication skills and ability to distill information from large data sets and results into simple concepts and actionable insights for a variety of audiences.
- Masters degree in Data Analytics, Business Analytics, Mathematics, Computer Engineering/Science or related field.
- A strong passion for analytics with the ability to work closely with business teams, understand business requirements, and handle sophisticated projects related to data-driven initiatives.
- Strong visualization skills using Tableau with a keen eye for design.
- Can easily cut through ambiguity and can rapidly understand complex business processes and details.
- Prioritizes workload, managing multiple and often competing tasks, and meets deadlines for a
- variety of deliverables.
- Excellent verbal and written communicator with the ability to tailor the message to the audience.
Show more
These jobs might be a good fit
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