Urgent! AIML - Data Scientist, Evaluation Job Opening In Seattle – Now Hiring Apple
**Role Number:** 200612947-3337
**Summary**
Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally?
Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data.
You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
**Description**
Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence.
Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day.
Work with large, complex data sets.
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building LLMs as judges.
Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations.
Build and prototype analysis pipelines iteratively to provide insights at scale.
Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development.
Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations.
You should be passionate about building outstanding products.
This position involves a wide variety of skills and innovation.
**Minimum Qualifications**
+ 5 years of relevant work experience.
Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field.
+ Proficiency in data science, machine learning, and analytics, including statistical data analysis.
Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment.
+ Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
+ Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available 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.
**Preferred Qualifications**
+ Proven ability to collaborate effectively across functions and work well within a team.
+ Capable of driving projects of varying sizes and scopes - some will take months and some weeks — and you will need to know when to dive deep.
+ Worked with methods that address accuracy and variability in human annotation data.
+ Ability to learn new technology and skills to accommodate changing working requirements.
**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 $139,500 and $258,100, 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 about Apple Benefits.
(https://www.apple.com/careers/us/benefits.html)
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 seek to promote 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your AIML Data Potential: Insight & Career Growth Guide
Real-time AIML Data Jobs Trends in Seattle, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for AIML Data in Seattle, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 45782 jobs in United States and 761 jobs in Seattle. This comprehensive analysis highlights market share and opportunities for professionals in AIML Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Apple is currently hiring and seeking a AIML Data Scientist, Evaluation to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AIML Data Scientist, Evaluation Jobs United States varies, but the pay scale is rated "Standard" in Seattle. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for AIML Data Scientist, Evaluation typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your AIML Data Scientist, Evaluation interview at Apple, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Apple's products or services and be prepared to discuss how you can contribute to their success.
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