Data Scientist - Strategic Solutions 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.
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
Minimum 5+ years of process improvement/continuous improvement experience. Ability to deliver large scale DMAIC/A3 projects on-time with consistently successful measurable results, while working across departments and time zones. Experience leveraging...
Description:
This role has dual responsibilities. You will be responsible for running and assisting with quality improvement projects alongside managing the sustainability of select strategic quality programs. Projects will include project chartering, current state analysis, FMEA, root cause analysis, testing/piloting/proof of concept, engaging Change Management and leading high-visibility partner readouts. Program management would include partnering on select strategic quality programs. It is critical that you develop a strong working relationship with each of your partners. You should be an excellent communicator who is self-motivated and is comfortable working in a global, matrix, fast-paced environment.
Minimum 5+ years of process improvement/continuous improvement experience
Ability to deliver large scale DMAIC/A3 projects on-time with consistently successful measurable results, while working across departments and time zones
Experience leveraging AI/ML to enhance customer experiences or business processes
Experience designing balanced program scorecards and target KPIs
Experience leading Failure Modes and Effects Analyses
Extensive program & project management experience working with quality monitoring programs within a customer service organization or outsourcing partner
Collaborative, flexible and open working style, with an ability to establish and maintain close working relationships with key partners
Ability to influence and manage multiple organizational partners and balance the needs of our customers and business
Communicate priorities, wins and challenges back to organizational partners
Experience assisting organizations in establishing key risk indicators that enable effective monitoring of risks and early identification of potential issues
Has synthesized results of quantitative and qualitative analyses into key trends, implications, and recommendations for the program
Provided mentorship, oversight and support to the evolution of quality programs and results throughout the customer experience lifecycle
Partner closely, and cultivate trust with the senior team members and SMEs to partner on, and implement, initiatives
Role requires 5-10% travel
Certified Six Sigma Black Belt (CSSBB), Project Management Institute Project Management Professional (PMP), COPC, Customer Experience (CX) certifications preferred
Understanding of call center quality management processes; calibration, joint-contact-monitoring, quality standards, quality metrics
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.
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
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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