Cork, County Cork, Ireland
August 1, 2022
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Summary
Posted: Sep 21, 2021
Role Number: 200290888
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! We are seeking an experienced data scientist to join the dynamic team of EMEiA Retail Fulfilment Operations (RFO) in Cork. The RFO organisation is the “Voice of Retail in Operations” directly partnering with the various Retail teams. 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 data science, machine learning, visualisation, and data storytelling; passionate about drawing insights and hidden patterns from data
- Meticulous attention to detail, data integrity, and data wrangling
- Skilled in Python or R for data science.
- Knowledge of relational database technologies such as Teradata, Oracle or MySQL with strong SQL execution and optimisation skills.
- Highly proficient in Tableau or similar BI tools
- Ability to articulate complex data science concepts in business terms, know how to tell a story to highlight key insights, and present analysis effectively to key partners
- 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
- Experience driving reporting improvements and technology implementations in support of business analytics
- 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
- In-depth knowledge of both supervised and unsupervised machine learning and statistical techniques such as regression, classifiers, clustering, and deep learning
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. They will be 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 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 including but not limited to Optimisation - Retail transfers, stock listing Hierarchal Forecasting - Store/country level forecasting Anomaly detection - Cross reporting/metric validation / Trend evaluation Research and evaluate new technologies on data visualisation, machine learning, modelling 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 Advanced Analytics a distinct benefit. 5+ Years experience in a similar field
