Software Engineer - Strategic Data Solutions
Apply NowCompany: Apple
Location: Austin, TX 78745
Description:
Summary
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 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.
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:
Developing and implementing production software for preventing fraud
Responsible for system architecture design Working with external infrastructure teams to drive the development of infrastructure needs
Innovating by recognizing opportunities for automation and tools improvements
Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
Responsible for technical leadership for a team of data scientists
Lead the team to increase the level of maturity and skill in analytical software development
Responsible for release engineering
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 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.
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:
Developing and implementing production software for preventing fraud
Responsible for system architecture design Working with external infrastructure teams to drive the development of infrastructure needs
Innovating by recognizing opportunities for automation and tools improvements
Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
Responsible for technical leadership for a team of data scientists
Lead the team to increase the level of maturity and skill in analytical software development
Responsible for release engineering