AIML - Senior Data Scientist - Siri and Information Intelligence
Santa Clara Valley (Cupertino),California,United States
Software and Services
Advanced degree in a discipline that uses statistical analysis and 5+ years of experience (or 7+ years of total experience).
Strong background in applied statistics, experimental design, sampling methods, A/B testing procedure, causal analysis, and cohort analysis.
Excellent programming skills in Python
Expertise in natural language processing (NLP) is big plus.
Good experience with applying Big Data tools (MapReduce, Hadoop, Hive and/or Pig, Spark) to large quantities of textual data
Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data.
Strong attention to detail. Proven ability to dive into data to discover hidden patterns and conduct error/deviation analysis.
As a Senior Data Scientist within Siri on Music and Media, collaborates with data scientists, engineers, and Siri leaders to identify, scope, and run experiments, statistically interpret data with a mind on causation. Excellent interpersonal skills will be required to lead work across multiple teams to drive business decisions. We promote innovation and new technology to further improve our creative output. We are seeking an innovative and passionate person to join this amazing team, if you feel this is you, we'd love to hear from you.
Education & Experience
B.S., M.S. or Ph.D. in Statistics, Applied Math, Physics, Computer Science, Electrical Engineering or related fields.
Expertise in machine learning, such as classification, feature engineering, information extraction, structured prediction, clustering, semi-supervised learning, topic modeling, and ranking.
Exposure to model interpretability techniques and their real-world advantages/drawbacks
Good Conversational AI domain knowledge
Experience working with end-to-end pipelines and/or crowd-sourced data labeling
Pay & Benefits
- At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $121,000 and $230,000, and your base pay will depend on your skills, qualifications, experience, and location.Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.Learn more (https://www.apple.com/careers/us/benefits.html) about Apple Benefits.Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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 (Opens in a new window) .
Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .
Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in San Francisco, review the San Francisco Fair Chance Ordinance guidelines (opens in a new window) applicable in your area.
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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .