Data Scientist

Summary

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 visualisations. You are a motivated self-starter, comfortable navigating through ambiguity to evaluate complex data, analyse 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.

Key Qualifications

• Experienced in modelling and solving large-size decision optimisation problems using constraint programming, mixed integer programming, etc., and data science and machine learning techniques
• Meticulous attention to detail, data integrity, and data wrangling
• Passionate about understanding and solving problems, drawing insights and hidden patterns from data, visualisation and data storytelling
• Skilled in Python
• Ability to get things done, experience in delivering end-to-end projects
• Knowledge of relational database technologies such as Oracle or MySQL, and lightweight user interfaces like Streamlit, virtualisation using docker, Kubernetes
• 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 partner
• High intellectual curiosity to learn and understand business needs
• Excellent social skills to collaborate with cross-functional partners to share knowledge, communicate findings, and integrate feedback
• 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.

Description

• The ideal candidate will have outstanding communication skills.
• Proven data science and advanced analytics capabilities.
• Strong business acumen and an innate drive to deliver results.
• Be a self-starter, comfortable with ambiguity, and enjoy working in a fast-paced dynamic environment.
• You will demonstrate an innovative and strategic approach to reporting and business analytics.
• Develop custom models, algorithms, and interactive visualisations to deliver Supply Chain insights.
• Wrangle and analyse 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.

Education & Experience

• BS or equivalent in Computer Science, mathematical or Statistical degree
• MSc in Operations Research or Data Science or related field.