Data Scientist - Strategic Data Solutions
Apple
Data Scientist - Strategic Data Solutions
Job Description
Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, optimize various business processes, and improve the customer journey across our online and retail stores! Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding analyst who is interested in working closely with our Apple Online Store (AOS) partner teams; understanding their processes and analytic needs; and developing technical solutions along the way. They will sit side-by-side with our data scientists and analyze complex business problems, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in uncertain environments with competing priorities. They must possess proven business acumen, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update). • 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
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data scienceintermediate
- machine learningintermediate
- analyzing complex business problemsintermediate
- access to internal and external data sourcesintermediate
- communicate relevant insightsintermediate
- business acumenintermediate
- quantitative backgroundintermediate
- technical backgroundintermediate
- natural curiosityintermediate
- shift between communication stylesintermediate
- support discovery of business problemsintermediate
- manage program performance metricsintermediate
- perform data discoveryintermediate
- create proof of conceptsintermediate
- perform statistical analysesintermediate
- work with data warehouse architectsintermediate
- work with software developersintermediate
- generate business intelligence solutionsintermediate
- present results of analysesintermediate
Required Qualifications
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) preferred (experience)
- At least 3 years experience working as a data/business analyst, auditor, or related role (experience, 3 years)
- Competent with SQL, big data systems and tools. Ability to do statistical analysis in any one of these languages: Python, R, Java, etc. (experience)
- Experience applying analytical techniques to provide solutions to real business problems (experience)
Preferred Qualifications
- Competent with Tableau (experience)
- Experience providing business intelligence to drive better decision-making (experience)
- Experience eliciting business requirements and executive metrics (experience)
- Experience building executive level business cases and project plans (experience)
- Strong interpersonal skills with ability to connect and develop strong partnerships (experience)
- Creativity to go beyond current tools to deliver best solution to the problem (experience)
- Inquisitiveness and a desire for continued self-improvement and development of new skills (experience)
- Comfort working independently and making key decisions on projects (experience)
- Ability to tell meaningful stories with data (experience)
- Strong verbal / written communication skills (experience)
- Any experience with Python is preferred (experience)
- Any experience working in fraud (retail, payments, shipping, identity, etc.) is a bonus (experience)
Responsibilities
- • 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
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Data Scientist - Strategic Data Solutions
Apple
Data Scientist - Strategic Data Solutions
Job Description
Apple’s Strategic Data Solutions (SDS) team leads efforts to mitigate monetary losses, optimize various business processes, and improve the customer journey across our online and retail stores! Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding analyst who is interested in working closely with our Apple Online Store (AOS) partner teams; understanding their processes and analytic needs; and developing technical solutions along the way. They will sit side-by-side with our data scientists and analyze complex business problems, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in uncertain environments with competing priorities. They must possess proven business acumen, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update). • 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
Locations
- Austin, Texas, United States 78727
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data scienceintermediate
- machine learningintermediate
- analyzing complex business problemsintermediate
- access to internal and external data sourcesintermediate
- communicate relevant insightsintermediate
- business acumenintermediate
- quantitative backgroundintermediate
- technical backgroundintermediate
- natural curiosityintermediate
- shift between communication stylesintermediate
- support discovery of business problemsintermediate
- manage program performance metricsintermediate
- perform data discoveryintermediate
- create proof of conceptsintermediate
- perform statistical analysesintermediate
- work with data warehouse architectsintermediate
- work with software developersintermediate
- generate business intelligence solutionsintermediate
- present results of analysesintermediate
Required Qualifications
- BS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar) preferred (experience)
- At least 3 years experience working as a data/business analyst, auditor, or related role (experience, 3 years)
- Competent with SQL, big data systems and tools. Ability to do statistical analysis in any one of these languages: Python, R, Java, etc. (experience)
- Experience applying analytical techniques to provide solutions to real business problems (experience)
Preferred Qualifications
- Competent with Tableau (experience)
- Experience providing business intelligence to drive better decision-making (experience)
- Experience eliciting business requirements and executive metrics (experience)
- Experience building executive level business cases and project plans (experience)
- Strong interpersonal skills with ability to connect and develop strong partnerships (experience)
- Creativity to go beyond current tools to deliver best solution to the problem (experience)
- Inquisitiveness and a desire for continued self-improvement and development of new skills (experience)
- Comfort working independently and making key decisions on projects (experience)
- Ability to tell meaningful stories with data (experience)
- Strong verbal / written communication skills (experience)
- Any experience with Python is preferred (experience)
- Any experience working in fraud (retail, payments, shipping, identity, etc.) is a bonus (experience)
Responsibilities
- • 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
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - Strategic Data Solutions @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs