Software Engineer - Strategic Data Solutions
2 Months ago • 3 Years +
Data Analysis
Job Description
Are you ready to apply your educational experience to real-world problems and passionate about data skills in a tech environment? Apple's Strategic Data Solutions team is building an environment for groundbreaking data analysis over Petabytes of data, mitigating fraud, waste, and abuse company-wide while optimizing customer and internal partner experiences. You will work with machine learning engineers to implement scalable systems and tools. This role involves developing and implementing production software for fraud prevention, system architecture design, driving infrastructure development, automating processes, improving efficiency and stability, and leading a team of data scientists to enhance analytical software development maturity. You will also be responsible for release engineering.
Good To Have:
- Experience with Docker, Kubernetes, or cloud platform deployment
- Experience with Relational databases and NoSQL databases
- Demonstrated understanding of the full software development lifecycle
- Excellent problem solving, critical thinking, and communication skills
- Solid grasp of computer science fundamentals
- Ability to evaluate and apply new technologies
- Self-motivated, proactive, and solution-oriented
Must Have:
- Mastery of Python, Java, Scala, C++ or equivalent language
- 3+ years of experience in software engineering/data science
- Experience building data science or data analysis tools on Hadoop/cloud-based systems
- BS or advanced degree in Computer Science, related field or equivalent experience
Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? \n\nImagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners. \n\nThe SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? \n\nImagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners. \n\nThe SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS. \n\nYou will be: \n• Developing and implementing production software for preventing fraud \n• Responsible for system architecture design \n• Working with external infrastructure teams to drive the development of infrastructure needs \n• Innovating by recognizing opportunities for automation and tools improvements \n• Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics \n• Responsible for technical leadership for a team of data scientists \n• Lead the team to increase the level of maturity and skill in analytical software development \n• Responsible for release engineering
- Mastery of one of Python, Java, Scala, C++ or equivalent language
- 3+ years of experience in software engineering/data science
- Experience building data science or data analysis tools on Hadoop/cloud based systems
- BS or advanced degree in Computer Science, related field or equivalent experience
- Some experience with Docker, Kubernetes, or cloud platform deployment
- Experience with Relational databases and NoSQL databases
- Demonstrated understanding of the full software development lifecycle
- Excellent problem solving, critical thinking, and communication skills
- Solid grasp of computer science fundamentals including data structures and algorithms
- Solid ability to evaluate and apply new technologies in a short time
- Self-motivated, proactive, and solution-oriented
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.
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