Support Insight Data Scientist jobs at Apple in United States, 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.
Minimum of 2 years professional technical troubleshooting expertise and customer service, or contact center sales/support, or training, or equivalent experience. Passion for customer service and understanding why owning the customer...
Description:
Minimum of 2 years professional technical troubleshooting expertise and customer service, or contact center sales/support, or training, or equivalent experience
Passion for customer service and understanding why owning the customer experience is critical
Ability to read, write, and speak fluently in English
Maintains a positive attitude and growth mindset by displaying resiliency and expertly navigating difficulties or obstacles
Ability to connect with customers and respond with empathy while navigating challenging situations
Able to communicate clearly and effectively with customers while accurately documenting notes
Aptitude for building problem solving skills with an eagerness to learn and take on new challenges
Able to quickly search for, consume, and apply information, ensuring a high level of attention to detail and accuracy
Knowledge of customer services practices and principles
Able to effectively adjust guidance to the needs of diverse individuals, treating everyone with respect
Able to self-manage, effectively manage time, multitask, organize, and prioritize while working independently in a fast-paced, constantly changing environment
Thrives on a team where expertise is shared and feedback is valued
Embraces continuous learning
Flexible to work between the hours of 7:00 a.m. and 10:30 p.m. local time, including weekends and holidays, with the possibility to flex up or down in hours depending on business needs
Successful completion of all trainings, testings, and certifications required for this role
Experience supporting customers in person or via phone, email, or chat
Professional technical troubleshooting expertise and customer service, or contact center sales/support, or training, or equivalent experience
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
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
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
5 years experience in SAP Application Development and Support and external non-SAP Services. 5 years experience in developing custom application in ABAP and troubleshooting/customizing SAP delivered standard applications and experience...
Description:
5 years experience in SAP Application Development and Support and external non-SAP Services
5 years experience in developing custom application in ABAP and troubleshooting/customizing SAP delivered standard applications and experience with IDOCs, BAPI, RFCs and Web services
5 years experience with Application programming on S/4HANA including RAP, OData, CDS Views, SAP FIORI
5 years hands on development experience in Eclipse Tool
Bachelor's Degree in an engineering-related field or equivalent 5years of work experience
Hands on experience in Performance Tuning for ABAP and CDS, HANA applications
Ability to collaborate closely with Functional Consultants to drive issues to closure
Must be flexible to participate in rotational on-call support schedule and to respond to production issues immediately
Knowledge of SAP technologies/frameworks such as SAPUI5 and SAP BTP Services is a plus
Experience in Production Support projects
Knowledge of SAP SqlScript for HANA
Hands on experience with API testing tools like Postman, SOAP UI .
Knowledge of debugging web application using browser dev tools like chrome DevTools.
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.
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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