Software Engineer - Strategic Data Solutions

Apple Inc.; United States; On-site; USD 90,000 - 150,000; Full time

Job summary

Join a forward-thinking company as a Software Engineer in Strategic Data Solutions, where you will leverage your expertise in software engineering and data analysis to combat fraud and optimize customer experiences. Work alongside talented machine learning engineers and contribute to innovative solutions that handle vast amounts of data. This role promises a dynamic environment where your problem-solving skills will shine, and your contributions will directly impact the efficiency of fraud analytics. If you're passionate about technology and eager to make a difference, this is the opportunity for you.

Qualifications

• 3+ years of experience in software engineering or data science.
• Mastery of Python, Java, Scala, or C++ required.

Responsibilities

• Develop and implement production software to prevent fraud.
• Lead design and implementation of systems for fraud prevention.

Skills

Python

Java

Scala

C++

Data Science

Problem-solving

Communication

Education

Bachelor's in Computer Science

Master's in Computer Science or related field

Tools

Hadoop

Cloud-based systems

Docker

Kubernetes

Relational databases

NoSQL databases

Job description

Software Engineer - Strategic Data Solutions

Austin, Texas, United States

Software and Services

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? Imagine 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 (SDS) team is responsible for mitigating fraud, waste, and abuse company-wide while optimizing and empowering our customers and internal partners. The SDS software engineering team is building an environment to enable groundbreaking 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.

Description

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. You will be:

1. Developing and implementing production software for preventing fraud
2. Responsible for system architecture design
3. Working with external infrastructure teams to drive the development of infrastructure needs
4. Innovating by recognizing opportunities for automation and tools improvements
5. Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
6. Responsible for technical leadership for a team of data scientists
7. Leading the team to increase the level of maturity and skill in analytical software development
8. Responsible for release engineering

Minimum Qualifications

• 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

Preferred Qualifications

• 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

Additional Requirements

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.