Data Scientist - Business Process Re-Engineering
Summary
Posted: Mar 6, 2025
Weekly Hours: 40
Role Number:200553694
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!
Description
Description
- 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
Minimum Qualifications
Minimum Qualifications
• BS in Data Science, Computer Science, Machine Learning or related field.
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
• Masters in Data Science, Computer Science, Machine Learning or related field preferred.
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
More
• 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.
Apply Now
Posted: Mar 6, 2025
Weekly Hours: 40
Role Number:200553694
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!
Description
Description
- 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
Minimum Qualifications
Minimum Qualifications
• BS in Data Science, Computer Science, Machine Learning or related field.
Key Qualifications
Key Qualifications
Preferred Qualifications
Preferred Qualifications
• Masters in Data Science, Computer Science, Machine Learning or related field preferred.
Education & Experience
Education & Experience
Additional Requirements
Additional Requirements
More
• 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.
Apply Now