AIML - Sr Data Scientist, Data and ML Innovation

$175,800 - $312,200/Yr

Apple - San Francisco, CA

Full-time - Mid Level

San Francisco, CA

Computer and Electronic Product Manufacturing

About the position

The AIML Data organization at Apple is focused on enhancing products by leveraging data to reflect customer feedback. The Search Analytics team plays a crucial role in this mission by measuring, evaluating, and analyzing user experiences to inform product evolution. This position involves collaborating with engineering teams to improve search quality and guide feature development across various Apple devices and languages.

Responsibilities

• Research and develop evaluation methods to enhance the quality of Apple user-facing products like Siri and Search.
• Collaborate with evaluation and experimentation engineering teams to implement methodological developments into technologies used by product engineering.
• Analyze large, complex data sets and solve challenging, non-routine analysis problems using advanced analytical methods.
• Conduct comprehensive analysis including data collection, quality control, requirements specification, processing, and presentation.
• Build and prototype analysis pipelines iteratively to provide scalable insights.
• Develop a deep understanding of product data structures and metrics, advocating for necessary changes to support product development.
• Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations.

Requirements

• Proficiency in data science, machine learning, and evaluation techniques.
• Experience in crafting, conducting, analyzing, and interpreting experiments and investigations.
• Proven ability to independently lead large-scale, open-ended analytical projects.
• Strong critical thinking, problem-solving, and collaboration skills with cross-functional teams.
• Excellent communication skills for translating business questions into actionable insights using statistical techniques.
• Strong programming skills in Python for data processing, with expertise in SQL or Spark.
• Proficient in data wrangling and building scalable solutions in collaboration with engineering teams.

Nice-to-haves

• Extensive experience in generative model and application development, focusing on data, evaluation, and automation.
• Experience with cutting-edge methodologies and rigorous statistical analysis.

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Discretionary bonuses or commission payments
• Relocation assistance
• Participation in Apple's Employee Stock Purchase Plan