Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
Description APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Apply best-in-class modeling and analytics techniques to enable rapid insights discovery for multiple business, cross functional teams and Senior Leadership Team (SLT). Lead analysis of business metrics, their interactions, and framework design on deep dive investigations. Monitor usage metrics, provide business-based explanations for large scale trends and patterns. Lead creation of self-serve analytics tools and data products to enable insights discovery at lightning speed and scale. Tools include creation of Jupyter Notebooks, programming in SQL, Python, and developing visualizations in Tableau. Automate and scale existing analysis methods. Develop and test machine learning models on small data size and then make them run at high speed on big data. Such process should be automated to run on a specified cadence without human intervention. Institute new approaches on modeling and analysis frameworks. This is accomplished by developing hypothesis and proposing statistical analysis techniques that can be used to detect patterns in the data, analyze trends, and relationships between different variables. Multiple methods are selected and then iterated upon to find the most optimal solution and develop insights. Design and evaluate experiments that help define opportunities for increased usage, improved marketplace performance and greater customer satisfaction. When engineering teams launch A/B test experiments they need data scientists to select samples and measure experiment performance to see if the effects observed were statistically significant. Skills needed are deep understanding of sampling and hypothesis testing techniques such as stratified sampling, power analysis, Minimum Detectable Effects, Significance testing, T-tests, z-tests, Chi squared Tests. Tools required are SQL and PySpark for data manipulation and high fluency with python libraries such as SciPy, StatsModels, Numpy, Pandas. Guide analytics on platform health, marketplace health, auction performance to drive product design strategies. Propose GTM and product changes backed by insights. Statistical analysis, model development and visualization of data to help understand how developers use Search Ads for app promotion. Hire and develop leading talent with proven, relevant data science skills. Motivate and ensure success for the team by defining roles and responsibilities that are clearly communicated, define and share a strategic vision for the function, established processes, and develop personal development plans. Empower global business teams with insights to inform and fulfill strategic objectives and goals. 40 hours/week. 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 $262,500 - $393,800/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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.
Minimum Qualifications - Bachelor's degree or foreign equivalent in Applied Mathematics, Computer Science, Statistics, Econometrics, Operations Research, Computer Engineering or related field and 5 years of progressive, post baccalaureate experience in the job offered or related occupation.
- 5 years of experience with each of the following skills is required:
- Use Statistical Data Analysis to select samples for A/B testing for experiment design, conduct power analysis for minimum detectable effects, measure test results significance testing during forward and holdback rollout periods.
- Use Machine Learning Model development to create anomaly detection models for measuring volatility in business metrics.
- Conduct ad-hoc analysis, root cause assessment and development of repeatable analysis with Python Programming
- Develop SQL Queries for data manipulation
- Develop Tableau Dashboard and underlying data models to support large scale applications
- Design, develop and maintain Databases and Data-warehouses using Snowflake
- Handle Big Data Model Automation and Optimization with tools like Airflow, PySpark and, Spark and Hive
Preferred Qualifications 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 .
