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Applied Data Solutions Program (Full-Time Opportunities)

App*** · Austin, TX, United States
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Austin, TX, United States123,700-186,900 USD/yearlyOnsite
Remuneration
123,700-186,900 USD/yearly
Location
Austin, TX, United States
Visa sponsorship
Sponsors visa

Job summary

Do you love the challenge of solving complex problems that can have a direct and meaningful impact on the company? Do you want to be part of a supportive team that’s constantly learning and having fun while solving tough business problems? We’d love to talk to you if you do!

Benefits

Of custom solutions.Develop self-serviceAt Apple, base pay is one part of our total compensation package and is determinThis provides the opportunity to progress as you grow and develop within a role.The base pay range for this role is between $123,700 and $186,900, and your baseIncluding: Comprehensive medical and dental coverage, retirementAdditionally, this role might be eligible for discretionary bonuses or commissioLearn more about AppleNote: Apple benefit, compensation and employee stock programs are subject to eli

Qualifications

  • assessing level of effort, etc.
  • Work cooperatively to design data science-driven solutions, balancing the utility of tried-and-true techniques and the
  • Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact.
  • Experience with ML platform provisioning and optimization (e.g., Dataiku, Ray, GPU-based training environments).
  • Minimum
  • Undergraduate or graduate degree in Computer Science, Data Science, Data Analytics, Machine Learning or related field.
  • Proficient in at least one programming language (Python/Scala/Java preferred).
  • Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions.
  • Practical experience (acquired through work, independent projects, or academic research) with implementing data science-related applications in a programming language such as Python, Scala, or Java.
  • Effective communication
  • experience, and location.

Responsibilities

  • may include:
  • Support our business partners and optimizes the customer experience by delivering data-driven solutions that mitigate fraud, improve security, and optimize efficiency.
  • Work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of scalable, easy-to-use systems and

Skills

Communication

Degrees

AssociateBachelorDegree

Work schedule

RotationShift

Industry

AutomotiveEducation

Relocation

Yes