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Form of workSummary
In this hybrid (hardware/software) role, you will develop state-of-the-art data science methods to apply machine learning and statistical analysis to explore, examine, and visualize data collected from early silicon chIPs and Systems developed for the world's premiere products.
At Apple, we work every single day to craft products that enrich peoples' lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for a forward-thinking and especially hardworking Data Scientist. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will surprise and delight millions of Apple's customers every day!
Key Qualifications
Proficiency in data science, machine learning, and statistical data analysis.
Experience in crafting, conducting, analyzing, and interpreting experimental data.
Generate data-driven insights to help future design decisions using large datasets.
Capable of driving projects of varying sizes and scopes - some will take weeks and some months - and you will need to know when to dive deep.
Experience in developing data science pipelines, toolchains, and workflows in Python, R, MATLAB, or equivalent programming languages.
5+ years of proven experience building data science driven solutions to solve business problems.
Knowledge of Analog and Mixed Signal Circuits and Systems.
Collaborative mentality, especially in a multifaceted & diverse environment.
Description
In this role you will:
• Develop tools and methods to improve the data analysis, visualization, and processing of analog-and-Mixed Signal IPs/Systems using machine-learning and data science methods.
• Work closely with engineering teams to guarantee the consistency and validity of insights generated across multiple IPs/Systems and prototypes.
• Generate insights from raw, unstructured historical data to influence future IPs/Systems.
Education & Experience
• B.S. in Electrical Engineering, Physics, Statistics, Mathematics, or similar quantitative field and 10+ years of relevant industry experience or equivalent
• Advanced Degree (MS or PhD) preferred
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
In this hybrid (hardware/software) role, you will develop state-of-the-art data science methods to apply machine learning and statistical analysis to explore, examine, and visualize data collected from early silicon chIPs and Systems developed for the world's premiere products.
At Apple, we work every single day to craft products that enrich peoples' lives. Do you love working on challenges that no one has solved yet? Do you like changing the game? We have an opportunity for a forward-thinking and especially hardworking Data Scientist. As a member of our dynamic group, you will have the rare and rewarding opportunity to craft upcoming products that will surprise and delight millions of Apple's customers every day!
Key Qualifications
Proficiency in data science, machine learning, and statistical data analysis.
Experience in crafting, conducting, analyzing, and interpreting experimental data.
Generate data-driven insights to help future design decisions using large datasets.
Capable of driving projects of varying sizes and scopes - some will take weeks and some months - and you will need to know when to dive deep.
Experience in developing data science pipelines, toolchains, and workflows in Python, R, MATLAB, or equivalent programming languages.
5+ years of proven experience building data science driven solutions to solve business problems.
Knowledge of Analog and Mixed Signal Circuits and Systems.
Collaborative mentality, especially in a multifaceted & diverse environment.
Description
In this role you will:
• Develop tools and methods to improve the data analysis, visualization, and processing of analog-and-Mixed Signal IPs/Systems using machine-learning and data science methods.
• Work closely with engineering teams to guarantee the consistency and validity of insights generated across multiple IPs/Systems and prototypes.
• Generate insights from raw, unstructured historical data to influence future IPs/Systems.
Education & Experience
• B.S. in Electrical Engineering, Physics, Statistics, Mathematics, or similar quantitative field and 10+ years of relevant industry experience or equivalent
• Advanced Degree (MS or PhD) preferred
Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.
