Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. You bring passion and dedication to your job and there's no telling what you could accomplish. \\n\\nWe're seeking a data scientist.\\n
Apple is seeking a data scientist to work on the Apple Services Digital Marketing team to help us understand public consumer feedback at scale, excavate insights to optimize our marketing and products, and monitor external brand relevancy. This person must have a deep understanding of statistics, machine learning techniques, digital marketing data and NLP to identify actionable insights and have the ability to successfully evangelize, educate, and enable within a very large organization.
Bachelor's degree with 3 years of experience in the data science field, or a Master's degree in Data Science, Computer Science, or a related field with 2 years of experience. \nStrong foundation in probability and statistics.\nProficiency in SQL and Python or R to work with large data sets.\nKnowledge around supervised and unsupervised machine learning algorithms (regression, classification, clustering, decision trees, neural networks, etc).\nUnderstanding of digital marketing data and KPIs, including Social, SEO, and Paid Media.\nAbility to both solve problems with an analytical mind set and clearly explain findings and methodologies to technical and creative teams.
Familiarity with marketing measurement frameworks such as marketing mix modeling and attribution models. \nAbility to partner and communicate effectively with cross-functional teams across marketing and engineering functions. \nProficiency in code collaboration /version control systems (e.g., Git, Github, GitLab).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 703d06eca4ad1179898f0a581efcdcd3
- Posted 3 hours ago
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