About Apple
Apple · Austin
Machine Learning Engineer - Strategic Data Solutions
(f/m/d) · 1/15/2025
Description
• Engage with stakeholders to translate ambiguous business problems into technical solutions, including finding opportunities, breaking them into solvable segments, defining requirements, assessing level of effort, etc
• Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the benefits of custom solutions
• Collaborate with technical partners to implement robust real-time and batch decisioning in production
• Create reporting and monitor decisioning quality to maintain operational and business metric health
• Investigate trends, assess threat impact, and respond with agile logic changes
• Communicate with stakeholders with varying technical backgrounds and business priorities about your work
• Share what you're learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your team's overall technical capabilities
Qualifications
- Graduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor’s degree with equivalent experience
- Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions
- Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or Java
Preferred Qualifications
- Theoretical understanding of machine learning algorithms and their relative strengths and weaknesses
- Ability to use a querying language such as SQL to extract insights from data
- Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact
- Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions
- Team-oriented skills and values to facilitate effective collaboration with business and technical partners
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