Data Scientist - Business Process Re-Engineering

Apple • Austin, TX

75d

About The Position

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!

Requirements

• Outstanding communication skills
• Proven data science and advanced analytics capabilities
• Strong business acumen
• Self-starter, comfortable with ambiguity
• Experience in a fast-paced dynamic environment
• Knowledge of relational database technologies such as Snowflake, MySQL
• Experience with lightweight user interfaces like Streamlit, Tableau, ThoughtSpot
• Familiarity with virtualization using Docker, Kubernetes
• Ability to articulate complex AI concepts in business terms
• High intellectual curiosity to learn and understand business needs
• Excellent social skills to collaborate with cross-functional partners
• Proven ability to operate comfortably and effectively in a fast-paced, highly-matrixed, rapidly changing environment
• Demonstrated collaboration as well as leadership and influencing skills

Responsibilities

• 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
• Demonstrate meticulous attention to detail, data integrity, and data wrangling
• Draw insights and hidden patterns from data, visualization and data storytelling
• Deliver end-to-end projects effectively

What This Job Offers

• Industry: Computer and Electronic Product Manufacturing
• Number of Employees: 5,001-10,000 employees