Data Scientist - Business Process Re-Engineering
Apple
Data Scientist - Business Process Re-Engineering
Job Description
Apple is a place where extraordinary people gather to do their best work. If you’re excited by the idea of making a real impact, a career with Apple might be your dream job… Just be prepared to dream big! An expert in advanced analytics, you are passionate about turning data into impactful insights, and driving creative data science solutions. You are skilled at creating analytical models and interactive visualizations. You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyze data from multiple angles, build analytical workflows, to deliver findings that directly impact the business. If this describes you, then you should consider joining us! - You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results - You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics - Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering - Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights - Present key findings to leadership to evaluate business impact, in non-technical terms
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
- advanced analyticsintermediate
- turning data into impactful insightsintermediate
- driving creative data science solutionsintermediate
- creating analytical modelsintermediate
- creating interactive visualizationsintermediate
- navigating through ambiguityintermediate
- evaluating complex dataintermediate
- analyzing data from multiple anglesintermediate
- building analytical workflowsintermediate
- delivering findingsintermediate
- outstanding communication skillsintermediate
- data science capabilitiesintermediate
- advanced analytics capabilitiesintermediate
- strong business acumenintermediate
- drive to deliver resultsintermediate
- self-starterintermediate
- comfortable with ambiguityintermediate
- working in a fast-paced dynamic environmentintermediate
- innovative approach to reportingintermediate
- strategic approach to business analyticsintermediate
- developing custom modelsintermediate
- developing algorithmsintermediate
- developing interactive visualizationsintermediate
- delivering Supply Chain insightsintermediate
- wrangling dataintermediate
- analyzing dataintermediate
- identifying patternsintermediate
- identifying trendsintermediate
- feature engineeringintermediate
- evaluating business needsintermediate
- in-depth conversations with business usersintermediate
- understanding the domainintermediate
- applying data science for insightsintermediate
- presenting key findings to leadershipintermediate
- evaluating business impact in non-technical termsintermediate
Required Qualifications
- Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. MSc in Data Science or Operations Research (degree in data science)
- 5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques (experience, 5 years)
- Skilled in Python (experience)
Preferred Qualifications
- Meticulous attention to detail, data integrity, and data wrangling (experience)
- Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualization and data storytelling (experience)
- Ability to get things done, experience in delivering end-to-end projects (experience)
- Knowledge of relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau, ThoughtSpot, virtualization using Docker, Kubernetes (experience)
- Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners (experience)
- High intellectual curiosity to learn and understand business needs (experience)
- Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback (experience)
- Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment (experience)
- Demonstrated collaboration as well as leadership and influencing skills (experience)
Responsibilities
- - You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results
- - You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics
- - Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering
- - Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights
- - Present key findings to leadership to evaluate business impact, in non-technical terms
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Answer 10 quick questions to check your fit for Data Scientist - Business Process Re-Engineering @ Apple.
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Data Scientist - Business Process Re-Engineering
Apple
Data Scientist - Business Process Re-Engineering
Job Description
Apple is a place where extraordinary people gather to do their best work. If you’re excited by the idea of making a real impact, a career with Apple might be your dream job… Just be prepared to dream big! An expert in advanced analytics, you are passionate about turning data into impactful insights, and driving creative data science solutions. You are skilled at creating analytical models and interactive visualizations. You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyze data from multiple angles, build analytical workflows, to deliver findings that directly impact the business. If this describes you, then you should consider joining us! - You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results - You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics - Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering - Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights - Present key findings to leadership to evaluate business impact, in non-technical terms
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
- advanced analyticsintermediate
- turning data into impactful insightsintermediate
- driving creative data science solutionsintermediate
- creating analytical modelsintermediate
- creating interactive visualizationsintermediate
- navigating through ambiguityintermediate
- evaluating complex dataintermediate
- analyzing data from multiple anglesintermediate
- building analytical workflowsintermediate
- delivering findingsintermediate
- outstanding communication skillsintermediate
- data science capabilitiesintermediate
- advanced analytics capabilitiesintermediate
- strong business acumenintermediate
- drive to deliver resultsintermediate
- self-starterintermediate
- comfortable with ambiguityintermediate
- working in a fast-paced dynamic environmentintermediate
- innovative approach to reportingintermediate
- strategic approach to business analyticsintermediate
- developing custom modelsintermediate
- developing algorithmsintermediate
- developing interactive visualizationsintermediate
- delivering Supply Chain insightsintermediate
- wrangling dataintermediate
- analyzing dataintermediate
- identifying patternsintermediate
- identifying trendsintermediate
- feature engineeringintermediate
- evaluating business needsintermediate
- in-depth conversations with business usersintermediate
- understanding the domainintermediate
- applying data science for insightsintermediate
- presenting key findings to leadershipintermediate
- evaluating business impact in non-technical termsintermediate
Required Qualifications
- Bachelor’s degree required in Data Science, Machine Learning, Computer Science, Mathematics or Statistics. MSc in Data Science or Operations Research (degree in data science)
- 5+ Years of experience in modeling and solving large-size decision optimization problems using constraint programming, mixed integer programming, etc., and data science, machine learning, anomaly detection techniques (experience, 5 years)
- Skilled in Python (experience)
Preferred Qualifications
- Meticulous attention to detail, data integrity, and data wrangling (experience)
- Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualization and data storytelling (experience)
- Ability to get things done, experience in delivering end-to-end projects (experience)
- Knowledge of relational database technologies such as Snowflake, MySQL, and lightweight user interfaces like Streamlit, Tableau, ThoughtSpot, virtualization using Docker, Kubernetes (experience)
- Ability to articulate complex AI concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners (experience)
- High intellectual curiosity to learn and understand business needs (experience)
- Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback (experience)
- Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment (experience)
- Demonstrated collaboration as well as leadership and influencing skills (experience)
Responsibilities
- - You have outstanding communication skills, proven data science and advanced analytics capabilities, strong business acumen, and an innate drive to deliver results
- - You are a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment - Innovative and strategic approach to reporting and business analytics
- - Develop custom models, algorithms, and interactive visualizations to deliver Supply Chain insights - Wrangle and analyze data to identify patterns, trends, and feature engineering
- - Evaluate business needs through in-depth conversations with business users to understand the domain and apply data science for insights
- - Present key findings to leadership to evaluate business impact, in non-technical terms
Tags & Categories
Answer 10 quick questions to check your fit for Data Scientist - Business Process Re-Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs