Apple
Business Data Scientist/Engineer
Apple, Austin, Texas, us, 78716
Business Data Scientist/Engineer
Austin,Texas,United States
Hardware
Apple is a place where people bring together to do their best work. If you're excited about making a real impact and are passionate about turning data into impactful insights, then we'd like to hear from you! The Hardware Test Engineering Organization is actively seeking a Business Data Science Professional. This role is not just about maintaining a strong awareness of the processes and systems applied by engineering, operations, and finance but about making significant impact. With a particular emphasis on data visualization and various reporting systems and tools, the successful candidate will be crucial in collaborating with business team members and partners to understand needs, evaluate options, and facilitate the selection, planning, and delivery of solutions. Your blend of business and technical understanding and project management is essential to our success.
Description
As a key player in our organization, you will handle the factory readiness process for various lines of business, including planning processes, inventory management, order management, optimization, reverse logistics, and more. Your role will be important in applying business process data sets to find opportunities for intelligent methodology standards. Your solutions will support a broad, cohesive strategy for feature improvements to systems and tools. You will drive the collection, pre-processing, clean-up, analysis, and visualization of data sets generated by the factory readiness process. This proactive approach will help the organization identify data-use opportunities and advocate for intelligent model applications where needed. As a data scientist, you will identify gaps and patterns similar to those of other teams and functions. Your insights will be crucial in recommending process, system innovation, and efficiency initiatives that will deliver customer-focused solutions, making you a key influencer in our team. You will work closely with multi-functional teams, including software engineers, product managers, and other data scientists, to extract insights from data to integrate models and help prioritize the organization's development focus. You will act as a business process champion for system and tool feature design, development, user testing, and implementation improvements toward intelligent models. Your ability to collaborate optimally will be a key asset in this role. Evaluate options against various factors and recommend long—and short-term strategies. Collaborate on the development of new systems and the extension of existing systems' capabilities. Present results and other analytical findings to business partners and leadership.
Minimum Qualifications
3+ years experience in data visualization, scripting, and applying data metrics models to business.
Tableau / Data Visualization skills and scripting (Python, SQL).
Experience in PLM systems, bills of materials, and contract manufacturing interactions.
Key Qualifications
Preferred Qualifications
Demonstrate expert data-driven understanding and problem-solving skills, drawing insights and hidden patterns from data, visualization, and data storytelling of business processes and their relationship to technology.
Meticulous attention to detail, data integrity, data wrangling, business metrics, and business analytics solutions and projects.
Proficient in manufacturing business processes (preferably for hardware products).
Excellent communication skills.
Demonstrate a shown experience in relationship-building and the ability to influence peers and management optimally.
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Austin,Texas,United States
Hardware
Apple is a place where people bring together to do their best work. If you're excited about making a real impact and are passionate about turning data into impactful insights, then we'd like to hear from you! The Hardware Test Engineering Organization is actively seeking a Business Data Science Professional. This role is not just about maintaining a strong awareness of the processes and systems applied by engineering, operations, and finance but about making significant impact. With a particular emphasis on data visualization and various reporting systems and tools, the successful candidate will be crucial in collaborating with business team members and partners to understand needs, evaluate options, and facilitate the selection, planning, and delivery of solutions. Your blend of business and technical understanding and project management is essential to our success.
Description
As a key player in our organization, you will handle the factory readiness process for various lines of business, including planning processes, inventory management, order management, optimization, reverse logistics, and more. Your role will be important in applying business process data sets to find opportunities for intelligent methodology standards. Your solutions will support a broad, cohesive strategy for feature improvements to systems and tools. You will drive the collection, pre-processing, clean-up, analysis, and visualization of data sets generated by the factory readiness process. This proactive approach will help the organization identify data-use opportunities and advocate for intelligent model applications where needed. As a data scientist, you will identify gaps and patterns similar to those of other teams and functions. Your insights will be crucial in recommending process, system innovation, and efficiency initiatives that will deliver customer-focused solutions, making you a key influencer in our team. You will work closely with multi-functional teams, including software engineers, product managers, and other data scientists, to extract insights from data to integrate models and help prioritize the organization's development focus. You will act as a business process champion for system and tool feature design, development, user testing, and implementation improvements toward intelligent models. Your ability to collaborate optimally will be a key asset in this role. Evaluate options against various factors and recommend long—and short-term strategies. Collaborate on the development of new systems and the extension of existing systems' capabilities. Present results and other analytical findings to business partners and leadership.
Minimum Qualifications
3+ years experience in data visualization, scripting, and applying data metrics models to business.
Tableau / Data Visualization skills and scripting (Python, SQL).
Experience in PLM systems, bills of materials, and contract manufacturing interactions.
Key Qualifications
Preferred Qualifications
Demonstrate expert data-driven understanding and problem-solving skills, drawing insights and hidden patterns from data, visualization, and data storytelling of business processes and their relationship to technology.
Meticulous attention to detail, data integrity, data wrangling, business metrics, and business analytics solutions and projects.
Proficient in manufacturing business processes (preferably for hardware products).
Excellent communication skills.
Demonstrate a shown experience in relationship-building and the ability to influence peers and management optimally.
Education & Experience
Additional Requirements
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.Learn more about your EEO rights as an applicant. (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf)
Apple Footer
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
Apple participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program (Opens in a new window) .
Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .
Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .